{"id":22965,"date":"2020-05-16T10:50:14","date_gmt":"2020-05-16T14:50:14","guid":{"rendered":"https:\/\/blog.carlrobitaille.org\/?p=22965"},"modified":"2020-05-16T10:50:16","modified_gmt":"2020-05-16T14:50:16","slug":"22965","status":"publish","type":"post","link":"https:\/\/blog.carlrobitaille.org\/?p=22965","title":{"rendered":""},"content":{"rendered":"\n<figure class=\"wp-block-embed-twitter wp-block-embed is-type-rich is-provider-twitter\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"twitter-tweet\" data-width=\"550\" data-dnt=\"true\"><p lang=\"en\" dir=\"ltr\">A toy example of why test sensitivity and specificity matter in serosurveys.<br><br>Imagine population seroprevalence is 4%. Test sensitivity is 80%. Specificity is 99.9%. For a random sample of 3000 participants, you would expect ~100 positives, 3% of which will be false positives. <a href=\"https:\/\/t.co\/TMyCZGNXkq\">pic.twitter.com\/TMyCZGNXkq<\/a><\/p>&mdash; Natalie E. Dean, PhD (@nataliexdean) <a href=\"https:\/\/twitter.com\/nataliexdean\/status\/1252593876763914241?ref_src=twsrc%5Etfw\">April 21, 2020<\/a><\/blockquote><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script>\n<\/div><\/figure>\n\n\n\n<figure class=\"wp-block-embed-twitter wp-block-embed is-type-rich is-provider-twitter\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"twitter-tweet\" data-width=\"550\" data-dnt=\"true\"><p lang=\"en\" dir=\"ltr\">EPI 101 thread on sensitivity and specificity, plus its application to <a href=\"https:\/\/twitter.com\/hashtag\/COVID19?src=hash&amp;ref_src=twsrc%5Etfw\">#COVID19<\/a> screening. For those who want a refresher!<br><br>The way we summarize the accuracy of a test (such as RT-PCR on a <a href=\"https:\/\/twitter.com\/hashtag\/coronavirus?src=hash&amp;ref_src=twsrc%5Etfw\">#coronavirus<\/a> throat swab) is with two quantities: sensitivity and specificity. 1\/12<\/p>&mdash; Natalie E. Dean, PhD (@nataliexdean) <a href=\"https:\/\/twitter.com\/nataliexdean\/status\/1238518203736903680?ref_src=twsrc%5Etfw\">March 13, 2020<\/a><\/blockquote><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script>\n<\/div><\/figure>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[19,24],"tags":[],"class_list":["post-22965","post","type-post","status-publish","format-standard","hentry","category-mathematiques","category-medecine"],"_links":{"self":[{"href":"https:\/\/blog.carlrobitaille.org\/index.php?rest_route=\/wp\/v2\/posts\/22965","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.carlrobitaille.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.carlrobitaille.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.carlrobitaille.org\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.carlrobitaille.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=22965"}],"version-history":[{"count":1,"href":"https:\/\/blog.carlrobitaille.org\/index.php?rest_route=\/wp\/v2\/posts\/22965\/revisions"}],"predecessor-version":[{"id":22966,"href":"https:\/\/blog.carlrobitaille.org\/index.php?rest_route=\/wp\/v2\/posts\/22965\/revisions\/22966"}],"wp:attachment":[{"href":"https:\/\/blog.carlrobitaille.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=22965"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.carlrobitaille.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=22965"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.carlrobitaille.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=22965"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}