{"id":2572,"date":"2009-06-22T10:30:34","date_gmt":"2009-06-22T08:30:34","guid":{"rendered":"http:\/\/www.wjst.de\/blog\/?p=2572"},"modified":"2009-06-22T10:46:26","modified_gmt":"2009-06-22T08:46:26","slug":"what-is-the-best-logistic-model","status":"publish","type":"post","link":"https:\/\/www.wjst.de\/blog\/sciencesurf\/2009\/06\/what-is-the-best-logistic-model\/","title":{"rendered":"What is the best logistic model?"},"content":{"rendered":"<p>I have never heard a formal lecture answering this question even after many years in epidemiology. It should be parsimonious of course to avoid too many missings but seems largely a subjective approach to keep or drop a variable. It was therefore quite helpful to find now an online lecture that exemplifies a sound approach &#8211; check out <a href=\"http:\/\/www.unc.edu\/courses\/2006spring\/ecol\/145\/001\/docs\/lectures\/lecture39.htm\">unc.edu\/courses\/2006spring<\/a>. I already used anova to compare models (at least since my move from SAS to R) while using AIC is something that I am adding now to my toolbox.<!--more--><\/p>\n<blockquote><p>\n> sapply(list(model1,model2,model3),AIC)\n<\/p><\/blockquote>\n<p>I was using loess smoother in the past to decide how to enter a variable in the model, but will give now also rcspline.plot a chance<\/p>\n<blockquote><p>\n> library(Design)<br \/>\n> rcspline.plot(y=frogs$pres.abs, x=frogs$meanmin, nk=5, m=20)\n<\/p><\/blockquote>\n\n<p>&nbsp;<\/p>\n<div class=\"bottom-note\">\n  <span class=\"mod1\">CC-BY-NC Science Surf , accessed 09.04.2026<\/span>\n <\/div>","protected":false},"excerpt":{"rendered":"<p>I have never heard a formal lecture answering this question even after many years in epidemiology. It should be parsimonious of course to avoid too many missings but seems largely a subjective approach to keep or drop a variable. It was therefore quite helpful to find now an online lecture that exemplifies a sound approach &hellip; <a href=\"https:\/\/www.wjst.de\/blog\/sciencesurf\/2009\/06\/what-is-the-best-logistic-model\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">What is the best logistic model?<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[276,2518],"class_list":["post-2572","post","type-post","status-publish","format-standard","hentry","category-computer-software","tag-epidemiology","tag-regression"],"_links":{"self":[{"href":"https:\/\/www.wjst.de\/blog\/wp-json\/wp\/v2\/posts\/2572","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.wjst.de\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.wjst.de\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.wjst.de\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.wjst.de\/blog\/wp-json\/wp\/v2\/comments?post=2572"}],"version-history":[{"count":6,"href":"https:\/\/www.wjst.de\/blog\/wp-json\/wp\/v2\/posts\/2572\/revisions"}],"predecessor-version":[{"id":2578,"href":"https:\/\/www.wjst.de\/blog\/wp-json\/wp\/v2\/posts\/2572\/revisions\/2578"}],"wp:attachment":[{"href":"https:\/\/www.wjst.de\/blog\/wp-json\/wp\/v2\/media?parent=2572"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wjst.de\/blog\/wp-json\/wp\/v2\/categories?post=2572"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wjst.de\/blog\/wp-json\/wp\/v2\/tags?post=2572"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}