{"id":508,"date":"2017-12-11T11:25:00","date_gmt":"2017-12-11T10:25:00","guid":{"rendered":"https:\/\/www.hsu-hh.de\/statistik\/?post_type=tribe_events&#038;p=508"},"modified":"2017-12-12T11:15:05","modified_gmt":"2017-12-12T10:15:05","slug":"confidence-intervals-for-standardized-mortality-ratios","status":"publish","type":"tribe_events","link":"https:\/\/www.hsu-hh.de\/statistik\/event\/confidence-intervals-for-standardized-mortality-ratios","title":{"rendered":"Johannes Rauh (IQTiG)"},"content":{"rendered":"<h1>Confidence Intervals for Standardized Mortality Ratios<\/h1>\n<p>When measuring the quality of a hospital by event rates of certain indications or after specific treatment, it is important to perform a<br \/>\nrisk adjustment in order to account for the fact that different hospitals see patients that systematically differ in their characteristics,<br \/>\nsuch as age or pre-existing health conditions. One way to summarize the hospital results over such strata is the computation of standardized<br \/>\nmortality (or morbidity) ratios (SMRs). <\/p>\n<p>To take into account statistical effects, SMRs are often reported with confidence intervals.\u00a0 These confidence intervals are usually obtained<br \/>\nunder various approximations.\u00a0 For small ratios, Poisson confidence intervals can be obtained.\u00a0 When the confounding risk factors vary<br \/>\nonly little among patients, binomial confidence intervals (exact or Wilson) can be used.\u00a0 Asymptotic confidence intervals based on the<br \/>\nnormal distribution have also been proposed. <\/p>\n<p>We follow an approach by Clay and compute exact confidence intervals for SMRs based on the Poisson binomial distribution. We compare the<br \/>\ncoverage of such intervals with existing procedures.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Confidence Intervals for Standardized Mortality Ratios<\/p>\n","protected":false},"author":335,"featured_media":0,"template":"","meta":{"_tribe_events_status":"","_tribe_events_status_reason":"","footnotes":""},"tags":[],"tribe_events_cat":[43],"class_list":["post-508","tribe_events","type-tribe_events","status-publish","hentry","tribe_events_cat-kolloquium","cat_kolloquium"],"_links":{"self":[{"href":"https:\/\/www.hsu-hh.de\/statistik\/wp-json\/wp\/v2\/tribe_events\/508","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hsu-hh.de\/statistik\/wp-json\/wp\/v2\/tribe_events"}],"about":[{"href":"https:\/\/www.hsu-hh.de\/statistik\/wp-json\/wp\/v2\/types\/tribe_events"}],"author":[{"embeddable":true,"href":"https:\/\/www.hsu-hh.de\/statistik\/wp-json\/wp\/v2\/users\/335"}],"version-history":[{"count":7,"href":"https:\/\/www.hsu-hh.de\/statistik\/wp-json\/wp\/v2\/tribe_events\/508\/revisions"}],"predecessor-version":[{"id":531,"href":"https:\/\/www.hsu-hh.de\/statistik\/wp-json\/wp\/v2\/tribe_events\/508\/revisions\/531"}],"wp:attachment":[{"href":"https:\/\/www.hsu-hh.de\/statistik\/wp-json\/wp\/v2\/media?parent=508"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.hsu-hh.de\/statistik\/wp-json\/wp\/v2\/tags?post=508"},{"taxonomy":"tribe_events_cat","embeddable":true,"href":"https:\/\/www.hsu-hh.de\/statistik\/wp-json\/wp\/v2\/tribe_events_cat?post=508"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}