{"version":"1.0","provider_name":"Vereniging voor Epidemiologie","provider_url":"https:\/\/www.epidemiologie.nl\/en\/","title":"Causal Inference and Propensity Score Methods - Vereniging voor Epidemiologie","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"xEWKix77iD\"><a href=\"https:\/\/www.epidemiologie.nl\/en\/cursus\/causal-inference-and-propensity-score-methods\/\">Causal Inference and Propensity Score Methods<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.epidemiologie.nl\/en\/cursus\/causal-inference-and-propensity-score-methods\/embed\/#?secret=xEWKix77iD\" width=\"600\" height=\"338\" title=\"&#8220;Causal Inference and Propensity Score Methods&#8221; &#8212; Vereniging voor Epidemiologie\" data-secret=\"xEWKix77iD\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/www.epidemiologie.nl\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","description":"In this course students gain an overview on the statistical techniques and research designs used by epidemiologists to estimate treatment effects from patient data and learn how to apply these techniques. We begin by introducing the Neyman-Rubin causal model (RCM), also called the potential outcomes framework, which postulates that each patient has as many potential [&hellip;]"}