{"id":55,"date":"2026-11-02T02:27:57","date_gmt":"2026-11-02T02:27:57","guid":{"rendered":"https:\/\/therisk.global\/health-nexus\/?page_id=55"},"modified":"2026-11-02T02:27:57","modified_gmt":"2026-11-02T02:27:57","slug":"probability-statistics","status":"publish","type":"page","link":"https:\/\/therisk.global\/health-nexus\/stem\/probability-statistics\/","title":{"rendered":"Statistics for health evidence"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/health-nexus\/stem\/probability-statistics\/ \u00b7 source template \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script>window.nexusLiveStrings={\"label\":\"Load the live map\",\"note\":\"Imagery and feeds come from other services (NASA, USGS, OpenStreetMap) and load only when you ask.\"};<\/script><script>(function(){\"use strict\";var n=window,l=document,y=\"nexus.live-map\",$=\"nexus.live-map.reload\";if(n.NXLive){return}var E=[\/(^|\\.)gibs\\.earthdata\\.nasa\\.gov$\/i,\/(^|\\.)eonet\\.gsfc\\.nasa\\.gov$\/i,\/(^|\\.)power\\.larc\\.nasa\\.gov$\/i,\/(^|\\.)earthquake\\.usgs\\.gov$\/i,\/(^|\\.)open-meteo\\.com$\/i,\/(^|\\.)openfreemap\\.org$\/i,\/(^|\\.)openstreetmap\\.org$\/i,\/(^|\\.)cartocdn\\.com$\/i,\/(^|\\.)arcgisonline\\.com$\/i,\/(^|\\.)maplibre\\.org$\/i,\/(^|\\.)protomaps\\.com$\/i,\/(^|\\.)versatiles\\.org$\/i,\/(^|\\.)amazonaws\\.com$\/i,\/(^|\\.)raw\\.githubusercontent\\.com$\/i,\/(^|\\.)media\\.githubusercontent\\.com$\/i,\/(^|\\.)geoboundaries\\.org$\/i,\/(^|\\.)jsdelivr\\.net$\/i,\/(^|\\.)unpkg\\.com$\/i,\/(^|\\.)cdn[j]s\\.cloudflare\\.com$\/i,\/(^|\\.)googleapis\\.com$\/i,\/(^|\\.)gstatic\\.com$\/i];var C=[\/(^|\\.)amazonaws\\.com$\/i];var b=n.nexusLiveStrings?n.nexusLiveStrings:{};var A={label:b.label?b.label:\"Load the live map\",note:b.note?b.note:\"Imagery and feeds come from other services (NASA, USGS, OpenStreetMap) and load only when you ask.\"};var I=[\"experience\",\"external\",\"optional-content\",\"embeds\",\"media\"];var p=[],u=[],k=0;function j(){try{if(n.localStorage.getItem(y)===\"1\"){return true}}catch(e){}try{return n.sessionStorage.getItem(y)===\"1\"}catch(e){return false}}function S(){var e=n.nexusConsent;if(!e){return null}return typeof e.allows===\"function\"?e:null}function z(){var e=n.nexusConsent;if(!e){return false}if(typeof e.granted!==\"function\"){return false}for(var t=0;t<I.length;t++){try{if(e.granted(I[t])){return true}}catch(r){}}return false}function d(e){var t=S();if(t){try{return t.allows(e?e:\"maps\")===true}catch(r){return false}}return j()?true:z()}function D(e){try{var t=e?typeof e===\"string\"?e:e.url?e.url:e.href?e.href:String(e):\"\";var r=new URL(t,l.baseURI);if(r.protocol!==\"http:\"){if(r.protocol!==\"https:\"){return\"\"}}return r.origin===n.location.origin?\"\":r.hostname}catch(o){return\"\"}}function X(e){for(var t=0;t<C.length;t++){if(C[t].test(e)){return\"globe\"}}return\"maps\"}function f(e){var t=D(e);if(!t){return false}var r=false;for(var o=0;o<E.length;o++){if(E[o].test(t)){r=true;break}}if(!r){return false}if(d(X(t))){return false}k++;return true}var w=0;function c(){if(w){return}w=setTimeout(function(){w=0;L()},250)}function v(e){setTimeout(function(){try{e.dispatchEvent(new Event(\"error\"))}catch(t){}},0)}var N=n.fetch;if(N){n.fetch=function(e){if(f(e)){c();return Promise.reject(new TypeError(\"Blocked until the live map is loaded\"))}return N.apply(this,arguments)}}var g=n.XMLHttpRequest?n.XMLHttpRequest.prototype:null;if(g){var K=g.open,_=g.send;g.open=function(e,t){this.__nxLiveUrl=t;return K.apply(this,arguments)};g.send=function(){if(f(this.__nxLiveUrl)){c();v(this);return}return _.apply(this,arguments)}}var h=n.HTMLImageElement?Object.getOwnPropertyDescriptor(n.HTMLImageElement.prototype,\"src\"):null;if(h){if(h.set){Object.defineProperty(n.HTMLImageElement.prototype,\"src\",{configurable:true,enumerable:h.enumerable,get:h.get,set:function(e){if(f(e)){c();v(this);return}h.set.call(this,e)}})}}var O=n.Element?n.Element.prototype.setAttribute:null;if(O){n.Element.prototype.setAttribute=function(e,t){if(e===\"src\"){if(this.tagName===\"IMG\"){if(f(t)){c();v(this);return}}}return O.apply(this,arguments)}}function M(e){if(!e){return false}if(e.tagName===\"SCRIPT\"){return f(e.src)}if(e.tagName===\"LINK\"){return f(e.href)}return false}if(n.Node){var G=n.Node.prototype.appendChild,Y=n.Node.prototype.insertBefore;n.Node.prototype.appendChild=function(e){if(M(e)){c();v(e);return e}return G.apply(this,arguments)};n.Node.prototype.insertBefore=function(e){if(M(e)){c();v(e);return e}return Y.apply(this,arguments)}}var R='[data-nx-map=\"ctx-field\"],[data-nx-le],[data-nx-eo],[data-grx-globe],[data-grx-obs],.nx-sb[data-nx-sb]';function T(){var e=[l];var t=l.querySelectorAll(\"*\");for(var r=0;r<t.length;r++){if(t[r].shadowRoot){e.push(t[r].shadowRoot)}}return e}function B(){var e=S();if(e){if(typeof e.enable===\"function\"){try{e.enable(\"maps\",\"site\")}catch(t){}try{e.enable(\"globe\",\"site\")}catch(t){}m();return}}try{n.localStorage.setItem(y,\"1\")}catch(t){try{n.sessionStorage.setItem(y,\"1\")}catch(r){}}m()}function F(e,t){var r=e.createElement(\"button\");r.type=\"button\";r.textContent=A.label;r.setAttribute(\"style\",\"pointer-events:auto;min-height:44px;min-width:44px;padding:0 18px;cursor:pointer;font:inherit;font-weight:600;font-size:14px;line-height:1.2;border-radius:2px;border:1px solid var(--nx-border-strong,#8a8a8a);background:var(--nx-text-primary,#111);color:var(--nx-bg-canvas,#fff)\");var o=\"nx-live-note-\"+Math.floor(Math.random()*1e9);r.setAttribute(\"aria-describedby\",o);r.addEventListener(\"click\",B);r.addEventListener(\"focus\",function(){r.style.outline=\"2px solid var(--nx-focus,#4c9aff)\";r.style.outlineOffset=\"2px\"});r.addEventListener(\"blur\",function(){r.style.outline=\"\"});var a=e.createElement(\"span\");a.id=o;a.textContent=A.note;a.setAttribute(\"style\",\"pointer-events:none;font-size:12px;line-height:1.4;padding:3px 7px;border-radius:2px;background:var(--nx-bg-canvas,#fff);color:var(--nx-text-secondary,#333);border:1px solid var(--nx-border-hairline,#bbb);max-width:34em\");t.appendChild(r);t.appendChild(a)}function W(e){var t=e.ownerDocument;var r=t.createElement(\"div\");r.className=\"nx-live-gate\";r.setAttribute(\"style\",\"position:absolute;inset-block-start:10px;inset-inline-start:10px;z-index:6;display:flex;flex-direction:column;align-items:flex-start;gap:6px;max-width:calc(100% - 20px);pointer-events:none;font:inherit\");var o=S();var a=false;if(o){if(typeof o.placeholder===\"function\"){try{var s=t.createElement(\"div\");s.setAttribute(\"style\",\"pointer-events:auto\");r.appendChild(s);o.placeholder(s,\"maps\");a=s.childNodes.length>0;if(!a){r.removeChild(s)}}catch(i){a=false}}}if(!a){F(t,r)}return r}function L(){if(d(\"maps\")){return}var e=T();for(var t=0;t<e.length;t++){var r=e[t].querySelectorAll(R);for(var o=0;o<r.length;o++){var a=r[o];if(a.getAttribute(\"data-nx-live-gate\")){continue}if(a.closest(\".nx-live-gate\")){continue}var s=a.getBoundingClientRect();if(s.width<120){continue}var i=a.querySelector(\".le-stage,.eo-stage\");if(!i){if(a.hasAttribute(\"data-nx-le\")||a.hasAttribute(\"data-nx-eo\")){continue}i=a}a.setAttribute(\"data-nx-live-gate\",\"1\");var H=n.getComputedStyle(i);if(H.position===\"static\"){i.style.position=\"relative\"}var U=W(i);i.appendChild(U);u.push({host:a,wrap:U,stage:i})}}J()}function J(){for(var e=0;e<u.length;e++){var t=u[e].stage,r=t?t.querySelector(\".nx-wm-presets\"):null;var o=r?r.getBoundingClientRect():null;if(o?o.height>0:false){var a=Math.round(o.bottom-t.getBoundingClientRect().top+8)+\"px\";if(u[e].wrap.style.insetBlockStart!==a){u[e].wrap.style.insetBlockStart=a}}}}function Q(){for(var e=0;e<u.length;e++){try{u[e].wrap.remove()}catch(t){}try{u[e].host.removeAttribute(\"data-nx-live-gate\")}catch(t){}}u=[]}function V(e,t,r){p.push({name:e,selector:t,fn:r});if(x){try{r(\"on\")}catch(o){}}}function Z(e){for(var t=0;t<p.length;t++){try{p[t].fn(e)}catch(r){}}}function ee(){var e=[],t=T();for(var r=0;r<t.length;r++){var o=t[r].querySelectorAll(R);for(var a=0;a<o.length;a++){var s=false;for(var i=0;i<p.length;i++){try{if(o[a].matches(p[i].selector)){s=true;break}}catch(H){}}if(!s){e.push(o[a])}}}return e}function te(e){if(k===0){return}if(ee().length===0){return}var t=e?\"on\":\"off\";try{if(n.sessionStorage.getItem($)===t){return}n.sessionStorage.setItem($,t)}catch(r){return}n.location.reload()}var x=d(\"maps\");function m(){var e=d(\"maps\");if(e===x){if(!e){c()}return}x=e;if(e){Q()}Z(e?\"on\":\"off\");if(!e){c()}try{l.dispatchEvent(new CustomEvent(\"nexus:live-map\",{detail:{granted:e}}))}catch(t){}te(e)}function q(){L();if(n.MutationObserver){var e=new n.MutationObserver(function(){if(x){return}c()});e.observe(l.documentElement,{childList:true,subtree:true});setTimeout(function(){e.disconnect()},2e4)}}if(l.readyState===\"loading\"){l.addEventListener(\"DOMContentLoaded\",q)}else{q()}n.addEventListener(\"load\",function(){setTimeout(L,400)});l.addEventListener(\"nexus-consent:ready\",m);l.addEventListener(\"nexus-consent:change\",m);var P=0;var re=setInterval(function(){P++;m();if(P>40){clearInterval(re)}},400);n.NXLive={allowed:d,blocked:f,grant:B,register:V,hosts:E.length}})();<\/script><style>.pix-dark-mode-switch, .bx-color-mode-toggle, .color-switcher, .page-headline { display: none !important; }<\/style><script type=\"application\/json\" class=\"_iub_cs_skip\" id=\"nxe-sig-data\">{\"S\":[{\"id\":\"W\",\"name\":\"Water\"},{\"id\":\"E\",\"name\":\"Energy\"},{\"id\":\"I\",\"name\":\"Infrastructure\"},{\"id\":\"F\",\"name\":\"Food\"},{\"id\":\"H\",\"name\":\"Health\"},{\"id\":\"B\",\"name\":\"Biodiversity\"}],\"D\":{\"W\":{\"E\":[0.6,\"cooling water and hydropower\"],\"F\":[0.8,\"irrigation\"],\"H\":[0.7,\"drinking water and sanitation\"],\"B\":[0.6,\"environmental flows\"],\"I\":[0.3,\"erosion and flood damage\"]},\"E\":{\"W\":[0.5,\"pumping and treatment\"],\"F\":[0.5,\"fertiliser, machinery and cold chains\"],\"H\":[0.5,\"hospital power\"],\"I\":[0.8,\"power for transport and telecoms\"],\"B\":[0.2,\"pollution from backup fuels\"]},\"I\":{\"W\":[0.6,\"pipes, dams and treatment works\"],\"E\":[0.6,\"transmission and fuel logistics\"],\"F\":[0.5,\"transport to market\"],\"H\":[0.5,\"access to care\"],\"B\":[0.2,\"coastal and river defences\"]},\"F\":{\"H\":[0.7,\"nutrition\"],\"W\":[0.3,\"withdrawals and runoff\"],\"B\":[0.6,\"land conversion\"],\"E\":[0.2,\"bioenergy feedstock\"],\"I\":[0.1,\"rural roads and storage\"]},\"H\":{\"F\":[0.3,\"farm labour\"],\"I\":[0.3,\"workforce for operations\"],\"E\":[0.2,\"grid workforce\"],\"W\":[0.2,\"utility workforce\"],\"B\":[0.1,\"conservation capacity\"]},\"B\":{\"W\":[0.5,\"watershed regulation\"],\"F\":[0.6,\"pollination and soils\"],\"H\":[0.4,\"zoonotic spillover and medicines\"],\"I\":[0.2,\"storm surge protection\"],\"E\":[0.1,\"biomass\"]}},\"CTX\":[{\"id\":\"urban-flood\",\"o\":\"WI\",\"n\":\"Urban flood\",\"s\":\"WEIH\",\"t\":\"Flooded streets take out substations, pumping stations and clinic access together; drinking water fails when power does.\"},{\"id\":\"hydropower\",\"o\":\"W\",\"n\":\"Hydropower reservoir\",\"s\":\"WEIB\",\"t\":\"A dam stores water for power and flood control, and reshapes the river's sediment, fish passage and wetlands downstream.\"},{\"id\":\"drought\",\"o\":\"W\",\"n\":\"Drought\",\"s\":\"WEFHB\",\"t\":\"Low river flows cut irrigation, cooling water and hydropower at once; food prices, nutrition and ecosystems follow.\"},{\"id\":\"heatwave\",\"o\":\"EH\",\"n\":\"Heatwave\",\"s\":\"WEFH\",\"t\":\"Cooling demand peaks the grid while rivers warm; heat stress fills hospitals and wilts crops.\"},{\"id\":\"blackout\",\"o\":\"E\",\"n\":\"Grid blackout\",\"s\":\"WEIFH\",\"t\":\"Without power, water treatment, telecoms, cold chains and hospitals fall back on fuel that runs out.\"},{\"id\":\"pandemic\",\"o\":\"H\",\"n\":\"Pandemic\",\"s\":\"EIFH\",\"t\":\"Workforce absence ripples from clinics into grid operations, logistics and farm labour.\"},{\"id\":\"pollinator\",\"o\":\"B\",\"n\":\"Pollinator decline\",\"s\":\"FHB\",\"t\":\"Fewer pollinators lower yields of fruit and vegetables, with a direct path to diet quality.\"},{\"id\":\"storm-surge\",\"o\":\"IB\",\"n\":\"Coastal storm surge\",\"s\":\"WEIHB\",\"t\":\"Mangroves and dunes absorb the surge; where they are gone, ports, substations and water intakes take it.\"}],\"K\":{\"shock\":0.6,\"gain\":0.35,\"rounds\":4},\"note\":\"teaching values\"}<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-sig-engine\" data-nx-run=\"sig\" data-nx-src=\"nexus-embed-signature.da3c87c267a0.js\" data-nx-sri=\"sha256-2jyHwmeg83e7xN+0QFoYCKfT1RqWeZ5rDTQYhy7VLN0=\"><\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-pe-nx-pe-catmodel\" data-nx-z=\"1\">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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-pe-engine\" data-nx-run=\"process-explorer\" data-nx-src=\"nexus-embed-process-explorer.476be5e6f30c.js\" data-nx-sri=\"sha256-R2vl5vMMhMHiDSUeocfN9QJvXuBE6Ah0036X5lTEXRg=\"><\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-sm-tab\" data-nx-z=\"1\" data-label=\"3D matrix\" data-play=\"Play tour\" data-nx-asset=\"sm-tab.4da905625552.txt\" data-nx-sri=\"sha256-TakFYlVSHgjnE4HEGjWAuVX45aqTVOpkLoe0hGXiTFs=\"><\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-sm-engine\" data-nx-run=\"system-matrix\" data-nx-src=\"nexus-embed-system-matrix.1ee829467163.js\" data-nx-sri=\"sha256-HugpRnFj1ijQXq5KhUO2cPAJeHvc5AVrh0Hj\/xMaIU0=\"><\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" data-nx-run=\"fig\" data-nx-src=\"nexus-embed-fig.e0043d1c48f4.js\" data-nx-sri=\"sha256-4AQ9HEj0t7DeCXoXRqlCRLwincTWj8Q0KfAo+eCw1Xc=\"><\/script><script type=\"application\/json\" class=\"_iub_cs_skip\" id=\"nxe-assets\">{\"nxe-es-code\":{\"f\":\"es-code.d470dc7571c5.txt\",\"s\":\"sha256-1HDcdXHFCxvm20tlR9FHTN8XvrJhNFlbW03tKxwWJ8I=\",\"a\":\"\"},\"nxe-gl-base-od\":{\"f\":\"gl-base-od.e0622a96e899.txt\",\"s\":\"sha256-4GIqluiZJntyAGfMYGNoAXwwxMKhdab+7YEFBoLlZ5o=\",\"a\":\" data-nx-pack=\\\"deflate\\\"\"},\"nxe-map-context\":{\"f\":\"map-context.a965226720a1.txt\",\"s\":\"sha256-qWUiZyChbKiTtLWpFCZROVpB5QISXNBKfepOJ+zOkWA=\",\"a\":\" data-nx-pack=\\\"deflate\\\"\"},\"nxe-map-pool\":{\"f\":\"map-pool.c31dae84875a.txt\",\"s\":\"sha256-wx2uhIda8fEz4BK1sUQO7edPcs22Bvn4FE0NpYLDyEo=\",\"a\":\" data-nx-pack=\\\"deflate\\\"\"},\"nxe-ml-src-code\":{\"f\":\"ml-src-code.5a99eb24c979.txt\",\"s\":\"sha256-WpnrJMl5+Rt6GCPchYzz9V8Fw\/mt0BVdtedF3t\/o0+o=\",\"a\":\"\"},\"nxe-xt-code\":{\"f\":\"xt-code.371023489e89.txt\",\"s\":\"sha256-NxAjSJ6JoGGZsXu22d+kvA4nR9AJ6Njy+\/Xy2FIyELw=\",\"a\":\"\"}}<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-mount\" data-nx-run=\"mount\">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<\/script><script class=\"_iub_cs_skip\" id=\"nxe-boot\" data-od=\"NxAjSJ6JoGGZsXu22d+kvA4nR9AJ6Njy+\/Xy2FIyELw=\">if(typeof window.__nxStill!==\"function\")window.__nxStill=function(){try{if(document.documentElement.hasAttribute(\"data-nx-still\"))return true;if(document.body?\/(?:^|\\s)mdp-readabler-stop-animations(?:\\s|$)\/.test(document.body.className):false)return true;var g=JSON.parse(window.localStorage.getItem(\"readabler\")||\"{}\");return g?g.stopAnimations===true||g.stopAnimations===\"true\"||g.stopAnimations===1:false}catch(G){return false}};(function(){function g(e,a){var f=atob(e),s=new Uint8Array(f.length),r;for(r=0;r< f.length;r++){s[r]=f.charCodeAt(r)}var o=0,i=0,u=0,n=new Uint8Array(Math.max(1024,s.length*6)),t=0;var c=[3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258];var d=[0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0];var m=[1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577];var y=[0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13];var ct=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15];function b(w){while(u< w){if(o>=s.length){throw new Error(\"nx-inflate: truncated\")}i|=s[o++]<< u;u+=8}var h=i%(1<< w);i>>>=w;u-=w;return h}function S(w,h,A){var v=new Uint16Array(16),_=new Uint16Array(16),p=new Uint16Array(A),x;for(x=0;x< A;x++){v[w[h+x]]++}v[0]=0;for(x=1;x<16;x++){_[x]=_[x-1]+v[x-1]}for(x=0;x< A;x++){if(w[h+x]){p[_[w[h+x]]++]=x}}return{count:v,sym:p}}function X(w){var h=0,A=0,v=0,_,p;for(_=1;_<16;_++){h|=b(1);p=w.count[_];if(h-p< A){return w.sym[v+(h-A)]}v+=p;A+=p;A<<=1;h<<=1}throw new Error(\"nx-inflate: bad code\")}function B(w){if(t+w<=n.length){return}var h=new Uint8Array(Math.max(n.length*2,t+w));h.set(n.subarray(0,t));n=h}var j=null,W=null,Y=0;while(!Y){Y=b(1);var q=b(2),J,H;if(q===0){i=0;u=0;var D=s[o]|s[o+1]<<8;o+=4;B(D);n.set(s.subarray(o,o+D),t);t+=D;o+=D;continue}if(q===1){if(!j){var Z=new Uint8Array(288),k=new Uint8Array(30);for(r=0;r<288;r++){Z[r]=r<144?8:r<256?9:r<280?7:8}for(r=0;r<30;r++){k[r]=5}j=S(Z,0,288);W=S(k,0,30)}J=j;H=W}else if(q===2){var F=b(5)+257,tt=b(5)+1,dt=b(4)+4,N=new Uint8Array(320),nt=new Uint8Array(19);for(r=0;r< dt;r++){nt[ct[r]]=b(3)}var lt=S(nt,0,19),U=0;while(U< F+tt){var O=X(lt),R=0,et=0;if(O<16){N[U++]=O;continue}if(O===16){if(!U){throw new Error(\"nx-inflate: bad repeat\")}et=N[U-1];R=3+b(2)}else if(O===17){R=3+b(3)}else{R=11+b(7)}while(R--){N[U++]=et}}J=S(N,0,F);H=S(N,F,tt)}else{throw new Error(\"nx-inflate: bad block\")}for(;;){var E=X(J);if(E<256){B(1);n[t++]=E;continue}if(E===256){break}E-=257;var rt=c[E]+b(d[E]),at=X(H),it=m[at]+b(y[at]);if(it>t){throw new Error(\"nx-inflate: bad distance\")}B(rt);for(var ot=0;ot< rt;ot++){n[t]=n[t-it];t++}}}return a?n.subarray(0,t):new TextDecoder(\"utf-8\").decode(n.subarray(0,t))}if(typeof window.__nxInflate!==\"function\"){window.__nxInflate=g}function G(e){var a=g(e,true),f=a[0]|a[1]<<8|a[2]<<16|a[3]<<24;var s=a.subarray(4+f);function r(o,i){var u=\"\",n=s.subarray(o,o+i);for(var t=0;i>t;t+=8192){u+=String.fromCharCode.apply(null,n.subarray(t,t+8192))}return btoa(u)}return JSON.parse(new TextDecoder(\"utf-8\").decode(a.subarray(4,4+f)),function(o,i){return i?i.$b?r(i.$b[0],i.$b[1]):i:i})}if(typeof window.__nxUnpack!==\"function\"){window.__nxUnpack=G}if(typeof window.__nxLate!==\"function\"){window.__nxLate=function(e,a){if(document.readyState!==\"loading\"){return null}if(!document.querySelector('template[data-nx-libs-last~=\"'+e+'\"]')){return null}return new Promise(function(f,s){document.addEventListener(\"DOMContentLoaded\",function(){var r=a();if(r){f(r)}else{s(new Error(\"nx-late: \"+e))}},{once:true})})}}if(typeof window.__nxAsset!==\"function\"){var I={};window.__nxAsset=function(e,a){if(I[e]){return I[e]}var f=document.getElementById(\"nxe-boot\"),s=[],r=window.NX_ASSET_BASE,o=f?f.getAttribute(\"data-nx-asset-base\"):\"\";if(r){s.push(String(r))}if(o){s.push(o)}s.push(\"\/wp-content\/uploads\/nexus-assets\/\");function i(t){if(!a){return t}return crypto.subtle.digest(\"SHA-256\",new TextEncoder().encode(t)).then(function(c){if(\"sha256-\"+btoa(String.fromCharCode.apply(null,new Uint8Array(c)))!==a){throw new Error(\"nx-asset: integrity\")}return t})}function u(t){if(t>=s.length){return Promise.reject(new Error(\"nx-asset: \"+e))}var c=s[t].charAt(s[t].length-1)===\"\/\"?s[t]:s[t]+\"\/\";return fetch(c+e,{credentials:\"omit\"}).then(function(d){if(!d.ok){throw new Error(\"nx-asset: \"+d.status)}return d.text()}).then(i).then(null,function(){return u(t+1)})}var n=u(0);I[e]=n;n.then(null,function(){delete I[e]});return n}}if(typeof window.__nxText!==\"function\"){window.__nxText=function(e){if(!e){return Promise.reject(new Error(\"nx-text: none\"))}var a=e.getAttribute(\"data-nx-asset\");if(a?!e.textContent:false){return window.__nxAsset(a,e.getAttribute(\"data-nx-sri\")||\"\")}return Promise.resolve(e.textContent)}}function ut(e){var a=e.getAttribute(\"data-nx-asset\");if(a?!e.textContent:false){return window.__nxAsset(a,e.getAttribute(\"data-nx-sri\")||\"\").then(function(n){return window.__nxInflate(n)})}var f=e.getAttribute(\"data-nx-src\");if(f?!e.textContent:false){var s=window.NX_RUNTIME||{},r=s.base||window.NX_RUNTIME_BASE||\"\",o=(s.files||{})[f.replace(\/\\.[0-9a-f]{12}(\\.js)$\/,\"$1\")]||null,i=[];if(r){i.push([r+f,e.getAttribute(\"data-nx-sri\")||\"\"])}if(o?!!o.url:false){i.push([o.url,o.sri||\"\"])}var u=function(n){if(n>=i.length){return Promise.reject(new Error(\"nx-lazy: \"+f))}var t={credentials:\"same-origin\"};if(i[n][1]){t.integrity=i[n][1]}return fetch(i[n][0],t).then(function(c){if(!c.ok){throw new Error(\"nx-lazy: \"+c.status)}return c.text()}).then(null,function(){return u(n+1)})};return u(0)}return Promise.resolve(window.__nxInflate(e.textContent))}function st(e){var a=e[0].getAttribute(\"data-nx-on-sight\")||\"[data-nx-map]\",f=null,s=false;function r(){if(s){return}s=true;if(f){f.disconnect()}var i=document.querySelectorAll(\"script[data-nx-on-sight][data-nx-asset]:not([data-nx-run])\"),u=[];for(var n=0;n!==i.length;n++){(function(t){if(t.textContent){return}u.push(window.__nxAsset(t.getAttribute(\"data-nx-asset\"),t.getAttribute(\"data-nx-sri\")||\"\").then(function(c){t.textContent=c;t.removeAttribute(\"data-nx-asset\")},function(){t.setAttribute(\"data-nx-ran\",\"failed\")}))})(i[n])}Promise.all(u.concat(e.map(function(t){return ut(t).then(null,function(){return null})}))).then(function(t){var c=t.slice(u.length);for(var d=0;d!==e.length;d++){if(c[d]===null){e[d].setAttribute(\"data-nx-ran\",\"failed\");continue}var m=document.createElement(\"script\");m.className=\"_iub_cs_skip\";m.setAttribute(\"data-nx-runtime\",e[d].getAttribute(\"data-nx-run\"));m.textContent=c[d];(document.head||document.documentElement).appendChild(m);e[d].setAttribute(\"data-nx-ran\",\"true\")}try{document.dispatchEvent(new CustomEvent(\"nexus:lazy-ready\"))}catch(y){}})}function o(){if(s){return}var i=[document],u=document.querySelectorAll(\".nxe-host\"),n=[],t,c;for(t=0;t!==u.length;t++){if(u[t].shadowRoot){i.push(u[t].shadowRoot)}}for(t=0;t!==i.length;t++){c=i[t].querySelectorAll(a);for(var d=0;d!==c.length;d++){n.push(c[d])}}if(!n.length){return}if(!window.IntersectionObserver){r();return}f=f||new IntersectionObserver(function(m){for(var y=0;y!==m.length;y++){if(m[y].isIntersecting){r();return}}},{rootMargin:\"800px 0px 800px 0px\"});for(t=0;t!==n.length;t++){if(!n[t].__nxLazySeen){n[t].__nxLazySeen=true;f.observe(n[t])}}}document.addEventListener(\"DOMContentLoaded\",o);document.addEventListener(\"nexus:runtime-ready\",o);window.addEventListener(\"load\",o);setTimeout(o,0)}var K=document.querySelectorAll(\"script[data-nx-run]\"),C=[],$=[];for(var z=0;z< K.length;z++){var l=K[z];if(l.hasAttribute(\"data-nx-ran\")){continue}if(l.hasAttribute(\"data-nx-on-sight\")){l.setAttribute(\"data-nx-ran\",\"waiting\");$.push(l);continue}if(l.hasAttribute(\"data-nx-src\")?!l.textContent:false){l.setAttribute(\"data-nx-ran\",\"loading\");C.push(l);continue}if(l.hasAttribute(\"data-nx-asset\")?!l.textContent:false){l.setAttribute(\"data-nx-ran\",\"loading\");C.push(l);continue}l.setAttribute(\"data-nx-ran\",\"true\");try{var L=document.createElement(\"script\");L.className=\"_iub_cs_skip\";L.setAttribute(\"data-nx-runtime\",l.getAttribute(\"data-nx-run\"));L.textContent=window.__nxInflate(l.textContent);(document.head||document.documentElement).appendChild(L)}catch(e){l.setAttribute(\"data-nx-ran\",\"failed\")}}if($.length){st($)}if(!C.length){return}var Q=window.NX_RUNTIME||{},V=Q.base||window.NX_RUNTIME_BASE||\"\",T=window.__nxMount,P=[];if(typeof T===\"function\"){window.__nxMount=function(e){P.push(e)}}function ft(){if(typeof T===\"function\"){window.__nxMount=T;for(var e=0;e< P.length;e++){try{T(P[e])}catch(a){}}}try{document.dispatchEvent(new CustomEvent(\"nexus:runtime-ready\"))}catch(a){}}function M(e){if(e>=C.length){ft();return}var a=C[e],f=a.getAttribute(\"data-nx-src\")||\"\",s=Q.files||{},r=[];if(a.hasAttribute(\"data-nx-asset\")){window.__nxAsset(a.getAttribute(\"data-nx-asset\"),a.getAttribute(\"data-nx-sri\")||\"\").then(function(u){var n=document.createElement(\"script\");n.className=\"_iub_cs_skip\";n.setAttribute(\"data-nx-runtime\",a.getAttribute(\"data-nx-run\"));n.textContent=window.__nxInflate(u);(document.head||document.documentElement).appendChild(n);a.setAttribute(\"data-nx-ran\",\"true\")}).then(null,function(){a.setAttribute(\"data-nx-ran\",\"failed\")}).then(function(){M(e+1)});return}var o=s[f.replace(\/\\.[0-9a-f]{12}(\\.js)$\/,\"$1\")]||null;if(V){r.push([V+f,a.getAttribute(\"data-nx-sri\")||\"\"])}if(o?!!o.url:false){r.push([o.url,o.sri||\"\"])}function i(u){if(u>=r.length){a.setAttribute(\"data-nx-ran\",\"failed\");M(e+1);return}var n=document.createElement(\"script\");n.className=\"_iub_cs_skip\";n.setAttribute(\"data-nx-runtime\",a.getAttribute(\"data-nx-run\"));if(r[u][1]){n.integrity=r[u][1]}n.onload=function(){a.setAttribute(\"data-nx-ran\",\"true\");M(e+1)};n.onerror=function(){if(n.parentNode){n.parentNode.removeChild(n)}i(u+1)};n.src=r[u][0];(document.head||document.documentElement).appendChild(n)}i(0)}M(0)})();<\/script><div class=\"nxe-host\" data-nxe-embed=\"n-g04-stem-probability-statistics\"><div class=\"nxe\" id=\"nxe-n27xejc8\" data-inst=\"gcri\" data-theme=\"dark\" data-grammar=\"atlas\" data-domain=\"health\" data-arche=\"method\" lang=\"en\" data-nx-css=\"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\"><style>#nxe-n27xejc8.nxe{display:block;box-sizing:border-box;max-width:1180px;margin:0 auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-n27xejc8.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n27xejc8.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n27xejc8.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n27xejc8.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n27xejc8.nxe :where(ul,ol){padding-left:20px}#nxe-n27xejc8.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n27xejc8.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n27xejc8.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n27xejc8.nxe svg{display:none}#nxe-n27xejc8.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n27xejc8.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n27xejc8.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-scene nx-es-scene\" data-scene=\"text\" data-ground=\"none\" data-es-org=\"gcri\" aria-labelledby=\"nx-scene-title\"><div class=\"nx-scene-intro nx-es-intro\"><p class=\"nx-eyebrow\"><abbr title=\"The Global Centre for Risk and Innovation\">GCRI<\/abbr> \u00b7 Health Nexus<\/p><span class=\"nx-scene-rule\" aria-hidden=\"true\"><\/span><h1 id=\"nx-scene-title\" class=\"nx-scene-title\">Statistics for health evidence<\/h1><p class=\"nx-scene-lede\">Probability and statistics turn incomplete, delayed and biased health data into estimates with stated uncertainty. In this field they handle survey sampling, small numbers, under-reporting and shifting baselines, so that every indicator carries a range and the assumptions behind it rather than a single, overconfident number.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/health-nexus\/write-to-us\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/health-nexus\/stem\/\">Back to STEM foundation of Health Nexus<\/a><\/div><\/div><\/section><section id=\"nx-s-1-sec\" class=\"nx-section\" data-hue=\"health\" data-tone=\"alt\" aria-labelledby=\"nx-s-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Contents<\/span><\/div><h2 id=\"nx-s-1\" class=\"nx-section-title\">Statistics for health evidence in five parts.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-es-fig\" data-es-layout=\"protocol\"><div class=\"nx-hero-panel\"><div class=\"nx-lv-steps\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Protocol<\/strong><\/span><span class=\"nx-eyebrow\">5 steps<\/span><\/div><ol><li><a href=\"#nx-sec-application\"><span class=\"nx-lv-steps-n\">01<\/span><span class=\"nx-lv-steps-t\">Application<\/span><span class=\"nx-lv-steps-d\">What probability and statistics does here<\/span><\/a><\/li><li><a href=\"#nx-sec-data\"><span class=\"nx-lv-steps-n\">02<\/span><span class=\"nx-lv-steps-t\">Data<\/span><span class=\"nx-lv-steps-d\">What the method consumes<\/span><\/a><\/li><li><a href=\"#nx-sec-checks\"><span class=\"nx-lv-steps-n\">03<\/span><span class=\"nx-lv-steps-t\">Validation<\/span><span class=\"nx-lv-steps-d\">How results are checked<\/span><\/a><\/li><li><a href=\"#nx-sec-connections\"><span class=\"nx-lv-steps-n\">04<\/span><span class=\"nx-lv-steps-t\">Connections<\/span><span class=\"nx-lv-steps-d\">Topics that rely on this method<\/span><\/a><\/li><li><a href=\"#nx-sec-stewardship\"><span class=\"nx-lv-steps-n\">05<\/span><span class=\"nx-lv-steps-t\">Stewardship<\/span><span class=\"nx-lv-steps-d\">Who maintains the method<\/span><\/a><\/li><\/ol><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-application\" class=\"nx-section\" data-hue=\"health\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Application<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">What probability and statistics does here.<\/h2><p class=\"nx-lede\">Probability and statistics provide the mathematical framework for describing uncertainty and learning from data. They underpin estimation, testing and prediction in every risk discipline. In health and biosecurity, statistical methods quantify the likelihood and uncertainty of losses across interconnected <a class=\"nx-link nx-term\" href=\"https:\/\/docs.therisk.global\/organization\/systems\" data-tc=\"Systems\" data-tk=\"Nexus Standards\" data-td=\"The twenty Nexus systems, NXS-CMD to NXS-LAB\">systems<\/a>. They make the evidence behind risk decisions explicit and reproducible. The canonical description is on <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/probability-statistics\/\">the STEM Commons<\/a>.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cols\"><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M21.21 15.89A10 10 0 1 1 8 2.83\"\/><path d=\"M22 12A10 10 0 0 0 12 2v10z\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Survey-weighted and small-area estimation<\/h3><p class=\"nx-p nx-mt-1\">Household survey data are analysed with their sampling design, and small-area models borrow strength across districts to estimate subnational coverage, with credible intervals mapped beside the estimates.<\/p><\/article><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 3v18h18\"\/><path d=\"m19 9-5 5-4-4-3 3\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Expected baselines for excess mortality<\/h3><p class=\"nx-p nx-mt-1\">Models fitted to past mortality with trend and seasonality give the expected count against which observed deaths are compared, and the baseline&#8217;s uncertainty is carried into the excess.<\/p><\/article><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><circle cx=\"12\" cy=\"12\" r=\"6\"\/><circle cx=\"12\" cy=\"12\" r=\"2\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Correcting for under-ascertainment<\/h3><p class=\"nx-p nx-mt-1\">Capture-recapture, serosurveys and multiplier methods estimate how many infections surveillance misses, so case counts are read against what they are likely to represent.<\/p><\/article><\/div><\/div><\/div><\/section><section id=\"nx-s-3-sec\" class=\"nx-section\" data-hue=\"health\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Monitor<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Tail fit.<\/h2><p class=\"nx-lede\">The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-health-method-tail\" data-cx=\"health.method-tail\" data-variant=\"section\" aria-label=\"Tail fit: illustrative console with example names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Tail fit<\/h3><p class=\"nx-fk-sub\">Health \u00b7 Statistics for health evidence \u00b7 Run R-6555<\/p><\/div><div class=\"nx-fk-actions\"><button type=\"button\" class=\"nx-fk-btn\" data-fk-act=\"menu\" aria-haspopup=\"true\" aria-expanded=\"false\" hidden><svg viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 4v11\"\/><path d=\"m7 10 5 5 5-5\"\/><path d=\"M5 20h14\"\/><\/svg>Export<\/button><ul class=\"nx-fk-menu\" data-fk-menu=\"true\" hidden><li><button type=\"button\" data-fk-act=\"export-png\">Image<small>PNG of the map or chart<\/small><\/button><\/li><li><button type=\"button\" data-fk-act=\"export-csv\">Data<small>CSV of the figure&#8217;s values<\/small><\/button><\/li><\/ul><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Shape parameter uncertain<\/span><span class=\"nx-cx-prod\">GCRI \u00b7 Health Nexus<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"4\" data-t=\"chart\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Return level curve<\/h4><\/div><\/div><svg class=\"nx-fk-svg\" viewBox=\"0 0 460 210\" width=\"460\" height=\"210\" role=\"img\" aria-label=\"Return level curve\" focusable=\"false\" tabindex=\"0\" preserveAspectRatio=\"xMidYMid meet\" data-fk-chart=\"cx-health-method-tail-c0\" data-fk-xs=\"log,2,500,36,446\" data-fk-ys=\"lin,0,100,180,20\" data-fk-xf=\"rp\" data-fk-series=\"OEP|ink|l||2:3.3;5:9.5;10:16.9;20:25.7;50:35.8;100:47.1;200:59.7;500:73.6~AEP|acc|l||2:3.5;5:10.1;10:18.2;20:27.9;50:39.3;100:52.3;200:67;500:83.5\" data-nx-z=\"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\"><\/svg><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"2\" data-t=\"kv\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Method card<\/h4><\/div><\/div><dl class=\"nx-fk-dl\"><div><dt>Method<\/dt><dd>Probability and statistics<\/dd><\/div><div><dt>Approach<\/dt><dd>peaks over threshold<\/dd><\/div><div><dt>Threshold<\/dt><dd>97th percentile<\/dd><\/div><div><dt>Label<\/dt><dd><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>MODELLED<\/span><\/dd><\/div><\/dl><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"6\" data-t=\"table\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Parameters<\/h4><p class=\"nx-fk-panel-sub\">generalised Pareto fit<\/p><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-health-method-tail-t2\"><table class=\"nx-fk-table\" data-fk-table=\"cx-health-method-tail-t2\" aria-label=\"Parameters\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Parameter<\/button><\/th><th scope=\"col\" data-col=\"c1\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Estimate<\/button><\/th><th scope=\"col\" data-col=\"c2\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Lower<\/button><\/th><th scope=\"col\" data-col=\"c3\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Upper<\/button><\/th><th scope=\"col\" data-col=\"c4\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c4\">Note<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-health-method-tail:r2-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Shape \u03be<\/td><td data-num=\"true\" data-sv=\"0.28\">0.28<\/td><td data-num=\"true\" data-sv=\"-0.04\">\u22120.04<\/td><td data-num=\"true\" data-sv=\"0.48\">0.48<\/td><td>heavy tail if above zero<\/td><\/tr><tr data-fk-key=\"cx-health-method-tail:r2-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Scale \u03c3<\/td><td data-num=\"true\" data-sv=\"2.3\">2.3<\/td><td data-num=\"true\" data-sv=\"1\">1.0<\/td><td data-num=\"true\" data-sv=\"7.5\">7.5<\/td><td>units of the variable<\/td><\/tr><tr data-fk-key=\"cx-health-method-tail:r2-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Exceedances<\/td><td data-num=\"true\" data-sv=\"136\">136<\/td><td data-num=\"true\"><\/td><td data-num=\"true\"><\/td><td>declustered<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Tail fit: the screen&#8217;s structure, terms and states for Health.<\/span><span data-honesty=\"true\">Example names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-data\" class=\"nx-section\" data-hue=\"health\" data-tone=\"alt\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Data<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">What the method consumes.<\/h2><p class=\"nx-lede\">Datasets and records used by probability and statistics on this platform, with the role each plays and the label its values carry. Sources are listed in <a class=\"nx-link\" href=\"https:\/\/therisk.global\/health-nexus\/research\/sources\/\">the source register<\/a>.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Data<\/th><th scope=\"col\">Role<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Data\">DHS and MICS microdata<\/td><td data-label=\"Role\">Design-based and model-based estimation<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Vital registration series<\/td><td data-label=\"Role\">Baseline modelling<\/td><td data-label=\"Label\"><span class=\"nx-chip\">Published statistics<\/span><\/td><\/tr><tr><td data-label=\"Data\">Serosurveys<\/td><td data-label=\"Role\">Calibration of ascertainment<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Routine reporting with completeness metadata<\/td><td data-label=\"Role\">Adjustment for missing reports<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"data\" data-nxf-kind=\"data\" data-nxf-resource=\"nexus:\/\/gcri\/G04\/stem\/probability-statistics\/#data\" data-nxf-title=\"Method record\" data-nxf-height=\"520\" hidden><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G04\/stem\/probability-statistics\/#evidence\" data-nxf-title=\"Evidence\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-signature\" class=\"nx-section\" data-hue=\"health\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sector signature<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">The sector signature of statistics for health evidence.<\/h2><p class=\"nx-lede\">The sectors statistics for health evidence touches and how strongly they depend on each other: what a study has to observe and model together.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><figure class=\"nx-nsig\" data-nx-sig=\"WIFH\" data-sig-name=\"Health and its partners\" data-sig-line=\"Health gives workforce for operations to infrastructure (0.3), farm labour to food (0.3) and utility workforce to water (0.2).\" data-sig-inst=\"The Global Centre for Risk and Innovation\"><div class=\"nx-nsig-plate\"><div class=\"nx-nsig-strip\" role=\"group\" aria-label=\"Signatures in context\" hidden><\/div><div class=\"nx-nsig-stage\"><div class=\"nx-nsig-top\"><span>Select corners \u00b7 hover lines<\/span><span class=\"nx-nsig-pairs\">6 \/ 15 relations<\/span><\/div><div class=\"nx-nsig-tilt\"><svg class=\"nx-nsig-svg\" viewBox=\"-370 -290 740 580\" role=\"img\" aria-label=\"Sector signature hexagon: Water, Infrastructure, Food and Health selected, 6 of 15 relations in play, coupling 0.42. Teaching values.\" focusable=\"false\" data-nx-z=\"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\"><\/svg><\/div><\/div><div class=\"nx-nsig-read\"><div><p class=\"nx-nsig-k\">Signature<\/p><p class=\"nx-nsig-name\">Health and its partners<\/p><p class=\"nx-nsig-line\">Health gives workforce for operations to infrastructure (0.3), farm labour to food (0.3) and utility workforce to water (0.2).<\/p><\/div><p class=\"nx-nsig-code\" aria-live=\"polite\"><span>W<\/span> \u00b7 <span class=\"nx-nsig-off\">E<\/span> \u00b7 <span>I<\/span> \u00b7 <span>F<\/span> \u00b7 <span>H<\/span> \u00b7 <span class=\"nx-nsig-off\">B<\/span><\/p><dl class=\"nx-nsig-stats\"><div><dt>Sectors<\/dt><dd><strong>4<\/strong> <small>of 6<\/small><\/dd><\/div><div><dt>Relations<\/dt><dd><strong>6<\/strong> <small>of 15<\/small><\/dd><\/div><div><dt>Coupling<\/dt><dd><strong>0.42<\/strong> <small>share of total<\/small><\/dd><\/div><\/dl><div class=\"nx-nsig-detail\"><h3 class=\"nx-nsig-dh\">Strongest relations in play<\/h3><ul class=\"nx-nsig-rel\"><li><span class=\"nx-nsig-rt\"><b>Water \u2192 Food<\/b> \u00b7 irrigation<\/span><span class=\"nx-nsig-bar\" data-v=\"8\" aria-hidden=\"true\"><i><\/i><\/span><span class=\"nx-nsig-v\">0.8<\/span><\/li><li><span class=\"nx-nsig-rt\"><b>Food \u2192 Health<\/b> \u00b7 nutrition<\/span><span class=\"nx-nsig-bar\" data-v=\"7\" aria-hidden=\"true\"><i><\/i><\/span><span class=\"nx-nsig-v\">0.7<\/span><\/li><li><span class=\"nx-nsig-rt\"><b>Infrastructure \u2192 Water<\/b> \u00b7 pipes, dams and treatment works<\/span><span class=\"nx-nsig-bar\" data-v=\"6\" aria-hidden=\"true\"><i><\/i><\/span><span class=\"nx-nsig-v\">0.6<\/span><\/li><li><span class=\"nx-nsig-rt\"><b>Water \u2192 Health<\/b> \u00b7 drinking water and sanitation<\/span><span class=\"nx-nsig-bar\" data-v=\"7\" aria-hidden=\"true\"><i><\/i><\/span><span class=\"nx-nsig-v\">0.7<\/span><\/li><\/ul><\/div><div class=\"nx-nsig-actions\" hidden><button type=\"button\" class=\"nx-nsig-btn\" data-sig-act=\"all\">Select all<\/button><button type=\"button\" class=\"nx-nsig-btn\" data-sig-act=\"clear\">Clear<\/button><button type=\"button\" class=\"nx-nsig-btn nx-nsig-pri\" data-sig-act=\"copy\">Copy signature<\/button><\/div><\/div><\/div><figcaption class=\"nx-nsig-note\">Teaching values for a typical city-region, not measurements for any place. Coupling is the summed strength of the relations in play, as a share of all fifteen.<\/figcaption><\/figure><\/div><\/div><\/div><\/section><section id=\"nx-sec-checks\" class=\"nx-section\" data-hue=\"health\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Validation<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">How results are checked.<\/h2><p class=\"nx-lede\">Results are checked through diagnostics, cross-validation and sensitivity to assumptions. Independent replication confirms findings.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Check<\/th><th scope=\"col\">How it is done<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Check\">Design-based variance<\/td><td data-label=\"How it is done\">Standard errors account for clustering, stratification and survey weights<\/td><\/tr><tr><td data-label=\"Check\">Posterior predictive checks<\/td><td data-label=\"How it is done\">Models must reproduce the observed data before they are used to estimate or predict<\/td><\/tr><tr><td data-label=\"Check\">Sensitivity to priors and baselines<\/td><td data-label=\"How it is done\">Results are recomputed under alternative assumptions and the spread is reported<\/td><\/tr><\/tbody><\/table><\/div><p class=\"nx-note nx-mt-3\">Inference depends on assumptions about independence, distribution and sampling that may not hold. Small or biased samples limit reliability.<\/p><\/div><\/div><\/section><section id=\"nx-sec-audience\" class=\"nx-section\" data-hue=\"health\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and evidence<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">How statistics for health evidence is modelled, measured and tested.<\/h2><p class=\"nx-lede\">The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-au\" data-au-voice=\"science\" data-au-n=\"1\"><figure class=\"nx-au-c\" data-au-fig=\"method-panel\"><h3 class=\"nx-h4\">Model, equations and assumptions<\/h3><p class=\"nx-p nx-au-what\">The model structure used for statistics for health evidence, the assumptions it makes and how each is tested.<\/p><div class=\"nx-au-eqs\"><div class=\"nx-au-eq\"><span class=\"nx-au-k\">Risk of element i<\/span><code>R<sub>i<\/sub> = f(H<sub>i<\/sub>, E<sub>i<\/sub>, V<sub>i<\/sub>, C<sub>i<\/sub>)<\/code><span class=\"nx-au-n\">hazard, exposure, vulnerability and coping capacity<\/span><\/div><div class=\"nx-au-eq\"><span class=\"nx-au-k\">Expected annual loss<\/span><code>EAL = &#8721;<sub>k<\/sub> p<sub>k<\/sub> &#183; L<sub>k<\/sub><\/code><span class=\"nx-au-n\">over events k with annual probability p<sub>k<\/sub><\/span><\/div><div class=\"nx-au-eq\"><span class=\"nx-au-k\">Coupled systems<\/span><code>x<sub>t+1<\/sub> = A x<sub>t<\/sub> + B u<sub>t<\/sub> + &#949;<sub>t<\/sub><\/code><span class=\"nx-au-n\">A carries the couplings, u the shock, &#949; the error<\/span><\/div><\/div><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Assumption<\/th><th scope=\"col\">Why it is made<\/th><th scope=\"col\">How it is tested<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Assumption\">Hazard and exposure are independent within an event<\/td><td data-label=\"Why it is made\">Keeps the loss integral tractable<\/td><td data-label=\"How it is tested\">Compare with a copula fit on joint records<\/td><\/tr><tr><td data-label=\"Assumption\">Couplings are linear near the operating point<\/td><td data-label=\"Why it is made\">Lets shocks propagate through A<\/td><td data-label=\"How it is tested\">Perturb beyond the linear range and compare<\/td><\/tr><tr><td data-label=\"Assumption\">Vulnerability curves transfer between places<\/td><td data-label=\"Why it is made\">Local curves are rarely available<\/td><td data-label=\"How it is tested\">Validate against observed losses where they exist<\/td><\/tr><\/tbody><\/table><\/div><dl class=\"nx-au-kv\"><div><dt>Inputs<\/dt><dd>versioned datasets with provenance<\/dd><\/div><div><dt>Outputs<\/dt><dd>distributions, never single numbers<\/dd><\/div><div><dt>Code<\/dt><dd>released with the model card and tests<\/dd><\/div><div><dt>Reproduction<\/dt><dd>same data, code, environment and seed<\/dd><\/div><\/dl><figcaption class=\"nx-caption\"><span>Standard risk and state-space formulations; the assumptions listed are typical of the method, stated for review, not results.<\/span><\/figcaption><\/figure><\/div><div class=\"nx-chips nx-au-fw\" aria-label=\"Frameworks cited\"><span class=\"nx-chip\">FAIR guiding principles \u00b7 GO FAIR and FORCE11<\/span><span class=\"nx-chip\">W3C PROV \u00b7 World Wide Web Consortium<\/span><span class=\"nx-chip\">Guidance on consistent treatment of uncertainties \u00b7 IPCC<\/span><span class=\"nx-chip\">CEOS Analysis Ready Data \u00b7 Committee on Earth Observation Satellites<\/span><\/div><\/div><\/div><\/section><section id=\"nx-sec-connections\" class=\"nx-section\" data-hue=\"health\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Connections<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Topics that rely on this method.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/health-nexus\/topics\/health-system-continuity\/\"><span>Health system continuity<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/health-nexus\/topics\/one-health\/\"><span>One Health<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/health-nexus\/topics\/infectious-threats\/\"><span>Infectious threats<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/health-nexus\/topics\/health-equity\/\"><span>Health equity<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/health-nexus\/topics\/environmental-health\/\"><span>Environmental health<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/health-nexus\/topics\/health-supply-chains\/\"><span>Health supply chains<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/health-nexus\/topics\/digital-health-risk\/\"><span>Digital health risk<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/health-nexus\/topics\/healthcare-infrastructure\/\"><span>Healthcare infrastructure<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-9-sec\" class=\"nx-section\" data-hue=\"health\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Process<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">How the process runs.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-pe\" id=\"nx-pe-catmodel\" data-nx-pe=\"nx-pe-catmodel\" data-active=\"catmodel\"><div class=\"nx-pe-shell\"><p class=\"nx-pe-eb\">Process<\/p><h2 class=\"nx-pe-title\">Statistics for health evidence: Catastrophe model pipeline<\/h2><p class=\"nx-pe-cap\">Catastrophe models usually have hazard, vulnerability, exposure and financial modules, and produce loss tables, <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 average-annual-loss\" data-tk=\"Nexus risk vocabulary\" data-td=\"The long-run expected loss per year, averaged over all possible events; it equals the area under the loss exceedance curve.\" data-ts=\"NRS-C1\" data-tr=\"draft\">average annual loss<\/a>, exceedance curves, PML and TVaR.<\/p><ol class=\"nx-pe-steps\"><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">01 Hazard<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">01<\/span><span class=\"nx-pe-st\">Event catalogue<\/span><span class=\"nx-pe-k\">Dataset \u00b7 Model developer<\/span><span class=\"nx-pe-sm\">The hazard module holds a large catalogue of simulated events that represents a wide range of plausible scenarios.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">03<\/span><span class=\"nx-pe-st\">Hazard module<\/span><span class=\"nx-pe-k\">Model \u00b7 Model developer<\/span><span class=\"nx-pe-sm\">For each event the hazard module gives the local <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 hazard-intensity\" data-tk=\"Nexus risk vocabulary\" data-td=\"The physical or functional strength of a hazard at a location, expressed through a measure appropriate to that hazard, such as depth, speed, shaking or concentration.\" data-ts=\"NRS-C1\" data-tr=\"draft\">hazard intensity<\/a> that the vulnerability module reads.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">02 Exposure and damage<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">02<\/span><span class=\"nx-pe-st\">Exposure<\/span><span class=\"nx-pe-k\">Dataset \u00b7 Referral hospital<\/span><span class=\"nx-pe-sm\">The exposure module houses the portfolio data, such as location-specific information.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">04<\/span><span class=\"nx-pe-st\">Vulnerability module<\/span><span class=\"nx-pe-k\">Model \u00b7 Model developer<\/span><span class=\"nx-pe-sm\">The vulnerability module quantifies the expected damage to the exposures from an event.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">03 Financial<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">05<\/span><span class=\"nx-pe-st\">Financial module<\/span><span class=\"nx-pe-k\">Model \u00b7 Referral hospital<\/span><span class=\"nx-pe-sm\">The financial module calculates losses from all event scenarios. Ground-up, gross and net losses differ as shown below.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">06<\/span><span class=\"nx-pe-st\">Event loss table<\/span><span class=\"nx-pe-k\">Dataset \u00b7 Referral hospital<\/span><span class=\"nx-pe-sm\">An event loss table lists each event with its annual occurrence probability and its loss for the portfolio.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">07<\/span><span class=\"nx-pe-st\">Year loss table<\/span><span class=\"nx-pe-k\">Dataset \u00b7 Referral hospital<\/span><span class=\"nx-pe-sm\">Some models also sample simulated years from event losses. This outline does not describe their format.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">04 Metrics<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">08<\/span><span class=\"nx-pe-st\"><a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 exceedance-probability\" data-tk=\"Nexus risk vocabulary\" data-td=\"The probability that a quantity will reach or exceed a given level over a given period.\" data-ts=\"NRS-C1\" data-tr=\"draft\">Exceedance probability<\/a> curves<\/span><span class=\"nx-pe-k\">Model \u00b7 Referral hospital<\/span><span class=\"nx-pe-sm\">The occurrence curve gives the chance that the largest loss in a year exceeds an amount. The aggregate curve does so for the sum of losses.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">09<\/span><span class=\"nx-pe-st\">AAL, PML and TVaR<\/span><span class=\"nx-pe-k\">Model \u00b7 Referral hospital<\/span><span class=\"nx-pe-sm\">Average annual loss sums event probability times loss. PML is one point on the occurrence curve.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">05 Use of results<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">10<\/span><span class=\"nx-pe-st\">Use of results<\/span><span class=\"nx-pe-k\">Decision \u00b7 Referral hospital<\/span><span class=\"nx-pe-sm\">The tail metrics are used when considering a portfolio&#8217;s exposure and the level of catastrophe reinsurance an insurer requires.<\/span><\/li><\/ol><\/li><\/ol><p class=\"nx-pe-foot\"><span>Outline of an external standard or method, from its public sources. It describes what the framework says, not a record of any run. It does not show that Nexus or any partner performs, certifies or approves a step. A gate is a step of the method, never a Nexus approval.<\/span><\/p><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-stewardship\" class=\"nx-section\" data-hue=\"health\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Stewardship<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Who maintains the method.<\/h2><p class=\"nx-lede\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/\">Systems Science and Modelling<\/a> stewards probability and statistics for the Consortium and reviews how it is applied across platforms.<\/p><\/div><div class=\"nx-section-body\"><p class=\"nx-p\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/probability-statistics\/\">Canonical page: Probability and statistics<\/a><\/p><\/div><\/div><\/section><section id=\"nx-s-11-sec\" class=\"nx-section\" data-hue=\"health\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Connected<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Where this page leads across the Consortium.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/systems-modelling\/stem\/probability-statistics\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Steward platform<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">Statistics for modelling<\/span><span class=\"nx-dest-why\">Systems Science and Modelling stewards this method.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-12-sec\" class=\"nx-section\" data-hue=\"health\" data-tone=\"alt\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What are the limits of probability and statistics in this field?<\/summary><div class=\"nx-answer\">Inference depends on assumptions about independence, distribution and sampling that may not hold. Small or biased samples limit reliability.<\/div><\/details><details><summary>How are results checked?<\/summary><div class=\"nx-answer\">Results are checked through diagnostics, cross-validation and sensitivity to assumptions. Independent replication confirms findings.<\/div><\/details><details><summary>Are the values on this page real?<\/summary><div class=\"nx-answer\">The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method&#8217;s use, not a run; no result is reported here.<\/div><\/details><details><summary>Where else is this method applied?<\/summary><div class=\"nx-answer\">The <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/probability-statistics\/\">canonical method page<\/a> lists every platform that applies it.<\/div><\/details><\/div><\/div><\/div><\/section><section id=\"nx-sec-nr-gateway\" class=\"nx-section\" data-hue=\"health\" data-tone=\"alt\" aria-labelledby=\"nx-nr-gateway-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">Reports<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Contribute<\/span><\/div><h2 id=\"nx-nr-gateway-h\" class=\"nx-section-title\">Contribute evidence from this page.<\/h2><p class=\"nx-lede\"><a class=\"nx-link\" href=\"https:\/\/docs.therisk.global\/organization\/programme\/reports\">Reports<\/a> is the Consortium&#8217;s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.<\/p><div class=\"nx-chips\"><span class=\"nx-chip\">GCRI<\/span><span class=\"nx-chip\">Health Nexus<\/span><span class=\"nx-chip\">Global Sector Risk and Resilience<\/span><span class=\"nx-chip\">Country Systems Risk and Resilience<\/span><span class=\"nx-chip\">Evidence Brief<\/span><\/div><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/health-nexus\/write-to-us\/contact\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Email<\/span><span class=\"nx-dest-host\">Gateway GW-GCRI<\/span><\/span><span class=\"nx-dest-title\">Send it from this page<\/span><span class=\"nx-dest-why\">Evidence, a correction, a case, a method, a review, a translation or profile input. It arrives tagged with this page, so the editor who owns it receives it.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/nexus-reports\/open-science\/#nx-sec-zenodo\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Zenodo<\/span><span class=\"nx-dest-host\">Open deposit<\/span><\/span><span class=\"nx-dest-title\">Deposit it and submit to the community<\/span><span class=\"nx-dest-why\">Publish your own record on Zenodo with your ORCID iD, then submit it to the Reports community there. Curators review it; the DOI stays yours.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/nexus-reports\/contribute\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Reports<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">See every way to contribute<\/span><span class=\"nx-dest-why\">The contribution types, how each is reviewed, what credit you receive, the licence and what is never accepted.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><\/ul><div class=\"nx-live-slot\" data-nxf-slot=\"contribute\" data-nxf-kind=\"workflow\" data-nxf-resource=\"nexus:\/\/gcri\/health-nexus\/stem\/probability-statistics#contribute\" data-nxf-title=\"Contribute evidence\" data-nxf-height=\"480\" hidden><\/div><p class=\"nx-note nx-mt-3\">Never send personal data, sensitive infrastructure detail or anything you have no right to share. A contribution is reviewed before use; sending it confers no authorship or editorial rights, and sponsorship never buys a finding.<\/p><\/div><\/div><\/section><section class=\"nx-section nx-deeper-band\" aria-labelledby=\"nx-deeper--global-health-nexus-stem-probability-statistics-h\"><div class=\"nx-container\"><nav class=\"nx-deeper\" aria-labelledby=\"nx-deeper--global-health-nexus-stem-probability-statistics-h\" data-nx-deeper=\"3\" data-nx-resources=\"1 1 1\"><h2 class=\"nx-deeper-h\" id=\"nx-deeper--global-health-nexus-stem-probability-statistics-h\">Go deeper<\/h2><ul><li><a href=\"https:\/\/docs.therisk.global\/organization\/model\/sectors\/health#what-health-gives\" data-ext><span class=\"nx-deeper-k\">Documentation:<\/span> Health<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><li><a href=\"https:\/\/risksacademy.com\/health-society\/health-systems\/\" data-ext><span class=\"nx-deeper-k\">Academy:<\/span> Health systems and health care resilience<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><li><a href=\"https:\/\/nexustandards.com\/health\/health-risk-standards\/\" data-ext><span class=\"nx-deeper-k\">Standards:<\/span> Health risk standards<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><\/ul><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-13\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Health Nexus<\/span><h2 id=\"nx-close-13\" class=\"nx-section-title\">Bring a method, a dataset or a question.<\/h2><p class=\"nx-lede\">Information and enquiries are open today. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/health-nexus\/write-to-us\/research-collaboration\/\">Propose a method <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/health-nexus\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-legal-14\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Legal<\/span><h2 id=\"nx-legal-14\" class=\"nx-h3 nx-mt-2\">Legal documents.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Legal documents\"><a href=\"https:\/\/therisk.global\/legal\/terms\/\">Platform Terms of Use <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/privacy\/\">Platform Privacy Notice <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/cookies\/\">Platform Cookie and Storage Notice <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/legal-notice\/\">Legal Notice <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/acceptable-use\/\">Acceptable Use Policy <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/participation-terms\/\">Participation and Events Terms <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/contribution-terms\/\">Contribution Terms <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/research-and-data-terms\/\">Research and Data Terms <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/ai-use\/\">AI-use Statement <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/intellectual-property\/\">Intellectual Property and Licensing <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/trademark-policy\/\">Trademark and Name Use Policy <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/disclaimer\/\">Disclaimers and Data Notices <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/corrections\/\">Corrections and Right of Reply Policy <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/complaints-and-integrity\/\">Complaints and integrity reporting <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/security\/\">Security and responsible disclosure <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/code-of-conduct\/\">Code of Conduct <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/trust\/accessibility\/\">Accessibility Statement <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/third-party-notices\/\">Third-party notices and attributions <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><p class=\"nx-note nx-mt-3\">Maps, data and figures on this site are shown for context and general information. They are not advice, forecasts or warnings; the limits of the information are set out in the Disclaimers and Data Notices.<\/p><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"TechArticle\",\"@id\":\"https:\/\/therisk.global\/health-nexus\/stem\/probability-statistics\/#article\",\"headline\":\"Statistics for health evidence\",\"description\":\"Health statistics for risk evidence: survey weighting and small-area estimation, expected baselines for excess mortality and under-ascertainment.\",\"inLanguage\":\"en\",\"about\":{\"@type\":\"Thing\",\"name\":\"health statistics\"},\"author\":{\"@id\":\"https:\/\/therisk.global\/#organization\",\"@type\":\"Organization\",\"name\":\"The Global Centre for Risk and Innovation\",\"url\":\"https:\/\/therisk.global\/\",\"alternateName\":\"GCRI\"},\"publisher\":{\"@id\":\"https:\/\/therisk.global\/#organization\"},\"mainEntityOfPage\":{\"@id\":\"https:\/\/therisk.global\/health-nexus\/stem\/probability-statistics\/#webpage\"},\"isAccessibleForFree\":true,\"mentions\":[{\"@type\":\"Thing\",\"name\":\"DHS and MICS microdata\"},{\"@type\":\"Thing\",\"name\":\"Vital registration series\"},{\"@type\":\"Thing\",\"name\":\"Serosurveys\"},{\"@type\":\"Thing\",\"name\":\"Routine reporting with completeness metadata\"}]}]}<\/script>\n\n<!-- nx-rev:00f62ef80414c41e -->\n<!-- nx-shared:c458b4b75ad2 -->\n<!-- nx-path:\/stem\/probability-statistics\/ -->","protected":false},"excerpt":{"rendered":"<p>40){clearInterval(re)}},400);n.NXLive={allowed:d,blocked:f,grant:B,register:V,hosts:E.length}})();GCRI \u00b7 Health Nexus<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":36,"menu_order":1005,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_buddyx_sub_header_visibility":"","_buddyx_sub_header_title_visibility":"","_hide_show_side_panel":"","_buddyxpro_page_sidebar":"","_buddyxpro_page_disable_header":"","_buddyxpro_page_disable_footer":"","_buddyxpro_page_content_width":"","_buddyxpro_page_header_style":"","_buddyxpro_page_color_mode":"","_buddyxpro_page_loader":"","_nx_seo_description":"Health statistics for risk evidence: survey weighting and small-area estimation, expected baselines for excess mortality and under-ascertainment.","_nx_seo_title":"Health statistics and excess mortality | Health Nexus","_nx_seo_image":"","_nx_seo_jsonld":"{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Organization\",\"@id\":\"https:\/\/therisk.global\/#organization\",\"name\":\"The Global Centre for Risk and Innovation\",\"alternateName\":\"GCRI\",\"url\":\"https:\/\/therisk.global\/\",\"description\":\"The Global Centre for Risk and Innovation (GCRI) works on risk science, evidence, methods and technical capability. GCRI is a research, development and policy institution. It is not a regulator, and it does not certify, license or approve; its findings carry their methods and uncertainty.\",\"address\":{\"@type\":\"PostalAddress\",\"addressLocality\":\"Toronto\",\"addressRegion\":\"ON\",\"postalCode\":\"M4R 1V2\",\"addressCountry\":\"CA\"},\"knowsAbout\":[\"Systemic risk\",\"Disaster risk reduction\",\"Risk science\",\"Earth observation\",\"Water security\",\"Food security\",\"Energy systems\",\"Global health\",\"Biodiversity\",\"Critical infrastructure\"],\"contactPoint\":[{\"@type\":\"ContactPoint\",\"contactType\":\"Consortium Secretariat\",\"url\":\"https:\/\/therisk.global\/write-to-us\/contact\/\",\"availableLanguage\":[\"en\"]}],\"subOrganization\":[{\"@type\":\"Organization\",\"name\":\"GCRI Canada\",\"url\":\"https:\/\/therisk.global\/about\/gcri-canada\/\",\"description\":\"Lead organisation of GCRI: Consortium Secretariat and global contracting party in support of the national and regional consortiums.\",\"address\":{\"@type\":\"PostalAddress\",\"addressLocality\":\"Toronto\",\"addressRegion\":\"ON\",\"postalCode\":\"M4R 1V2\",\"addressCountry\":\"CA\"},\"parentOrganization\":{\"@id\":\"https:\/\/therisk.global\/#organization\"}},{\"@type\":\"Organization\",\"name\":\"GCRI US\",\"url\":\"https:\/\/therisk.global\/about\/gcri-us\/\",\"description\":\"The United States institution of GCRI, a separate organisation with its own legal identity.\",\"address\":{\"@type\":\"PostalAddress\",\"streetAddress\":\"4500 Forbes Blvd., Suite 200\",\"addressLocality\":\"Lanham\",\"addressRegion\":\"MD\",\"postalCode\":\"20706\",\"addressCountry\":\"US\"},\"parentOrganization\":{\"@id\":\"https:\/\/therisk.global\/#organization\"}}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/therisk.global\/health-nexus\/#website\",\"url\":\"https:\/\/therisk.global\/health-nexus\/\",\"name\":\"Health Nexus\",\"publisher\":{\"@id\":\"https:\/\/therisk.global\/#organization\"},\"inLanguage\":\"en\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/therisk.global\/health-nexus\/stem\/probability-statistics\/#webpage\",\"url\":\"https:\/\/therisk.global\/health-nexus\/stem\/probability-statistics\/\",\"name\":\"Statistics for health evidence\",\"headline\":\"Health statistics and excess mortality | Health Nexus\",\"description\":\"Health statistics for risk evidence: survey weighting and small-area estimation, expected baselines for excess mortality and under-ascertainment.\",\"inLanguage\":\"en\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/health-nexus\/#website\"},\"publisher\":{\"@id\":\"https:\/\/therisk.global\/#organization\"},\"keywords\":\"health statistics, excess mortality estimation, small-area estimation, under-reporting, survey weights, dhs and mics microdata\",\"about\":{\"@type\":\"Thing\",\"name\":\"health statistics\"},\"breadcrumb\":{\"@id\":\"https:\/\/therisk.global\/health-nexus\/stem\/probability-statistics\/#breadcrumb\"}},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/therisk.global\/health-nexus\/stem\/probability-statistics\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"GCRI\",\"item\":\"https:\/\/therisk.global\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Health Nexus\",\"item\":\"https:\/\/therisk.global\/health-nexus\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"STEM foundation of Health Nexus\",\"item\":\"https:\/\/therisk.global\/health-nexus\/stem\/\"},{\"@type\":\"ListItem\",\"position\":4,\"name\":\"Statistics for health evidence\",\"item\":\"https:\/\/therisk.global\/health-nexus\/stem\/probability-statistics\/\"}]},{\"@type\":\"TechArticle\",\"@id\":\"https:\/\/therisk.global\/health-nexus\/stem\/probability-statistics\/#article\",\"headline\":\"Statistics for health evidence\",\"description\":\"Health statistics for risk evidence: survey weighting and small-area estimation, expected baselines for excess mortality and under-ascertainment.\",\"inLanguage\":\"en\",\"about\":{\"@type\":\"Thing\",\"name\":\"health statistics\"},\"author\":{\"@id\":\"https:\/\/therisk.global\/#organization\"},\"publisher\":{\"@id\":\"https:\/\/therisk.global\/#organization\"},\"mainEntityOfPage\":{\"@id\":\"https:\/\/therisk.global\/health-nexus\/stem\/probability-statistics\/#webpage\"},\"isAccessibleForFree\":true,\"mentions\":[{\"@type\":\"Thing\",\"name\":\"DHS and MICS microdata\"},{\"@type\":\"Thing\",\"name\":\"Vital registration series\"},{\"@type\":\"Thing\",\"name\":\"Serosurveys\"},{\"@type\":\"Thing\",\"name\":\"Routine reporting with completeness metadata\"}]}]}","_nx_i18n_locale":"","_nx_i18n_group":"","nexus_page_kind":"","footnotes":"","_nx_seo_image_alt":"","_nx_seo_canonical":"https:\/\/therisk.global\/health-nexus\/stem\/probability-statistics\/","_nx_seo_robots":"index,follow","_nx_seo_schema_type":"TechArticle"},"class_list":["post-55","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/therisk.global\/health-nexus\/wp-json\/wp\/v2\/pages\/55","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/therisk.global\/health-nexus\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/therisk.global\/health-nexus\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/therisk.global\/health-nexus\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/therisk.global\/health-nexus\/wp-json\/wp\/v2\/comments?post=55"}],"version-history":[{"count":1,"href":"https:\/\/therisk.global\/health-nexus\/wp-json\/wp\/v2\/pages\/55\/revisions"}],"predecessor-version":[{"id":103,"href":"https:\/\/therisk.global\/health-nexus\/wp-json\/wp\/v2\/pages\/55\/revisions\/103"}],"up":[{"embeddable":true,"href":"https:\/\/therisk.global\/health-nexus\/wp-json\/wp\/v2\/pages\/36"}],"wp:attachment":[{"href":"https:\/\/therisk.global\/health-nexus\/wp-json\/wp\/v2\/media?parent=55"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}