<?xml version="1.0"?>
<oembed><version>1.0</version><provider_name>Vereniging voor Epidemiologie</provider_name><provider_url>https://www.epidemiologie.nl/en/</provider_url><title>Introduction to Bayesian Statistics - Vereniging voor Epidemiologie</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="z4wxniY5Pv"&gt;&lt;a href="https://www.epidemiologie.nl/en/cursus/introduction-to-bayesian-statistics/"&gt;Introduction to Bayesian Statistics&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.epidemiologie.nl/en/cursus/introduction-to-bayesian-statistics/embed/#?secret=z4wxniY5Pv" width="600" height="338" title="&#x201C;Introduction to Bayesian Statistics&#x201D; &#x2014; Vereniging voor Epidemiologie" data-secret="z4wxniY5Pv" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
/* &lt;![CDATA[ */
/*! This file is auto-generated */
!function(d,l){"use strict";l.querySelector&amp;&amp;d.addEventListener&amp;&amp;"undefined"!=typeof URL&amp;&amp;(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&amp;&amp;!/[^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&lt;o.length;i++)o[i].style.display="none";for(i=0;i&lt;a.length;i++)s=a[i],e.source===s.contentWindow&amp;&amp;(s.removeAttribute("style"),"height"===t.message?(1e3&lt;(r=parseInt(t.value,10))?r=1e3:~~r&lt;200&amp;&amp;(r=200),s.height=r):"link"===t.message&amp;&amp;(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&amp;&amp;n.host===r.host&amp;&amp;l.activeElement===s&amp;&amp;(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&lt;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);
//# sourceURL=https://www.epidemiologie.nl/wp-includes/js/wp-embed.min.js
/* ]]&gt; */
&lt;/script&gt;
</html><description>In health sciences, researchers are typically interested in estimating population parameters, such as the mean, difference of means, proportions, differences in proportions, etc. When using classical frequentist statistics, these parameters are estimated using data from one particular study. Although there is often a priori knowledge about likely values of a parameter, this knowledge is not [&hellip;]</description></oembed>
