{"id":182,"date":"2013-09-26T16:16:09","date_gmt":"2013-09-26T16:16:09","guid":{"rendered":"http:\/\/pages.charlotte.edu\/colloquium\/?p=182"},"modified":"2022-09-10T22:22:57","modified_gmt":"2022-09-10T22:22:57","slug":"friday-nov-8-at-200pm-in-the-conference-room","status":"publish","type":"post","link":"https:\/\/pages.charlotte.edu\/colloquium\/blog\/2013\/09\/26\/friday-nov-8-at-200pm-in-the-conference-room\/","title":{"rendered":"Friday, Nov 8 at 2:00pm in Fretwell 205"},"content":{"rendered":"<table>\n<tbody>\n<tr>\n<td><a title=\"Jianguo Sun\" href=\"http:\/\/www.stat.missouri.edu\/~tsun\/\">(Tony) Jianguo Sun<\/a>, University of Missouri,\u00a0Columbia MO<\/td>\n<\/tr>\n<tr>\n<td>Title: Regression Analysis of Longitudinal Data with Informative Observation Times and Application to Medical Cost Data<\/td>\n<\/tr>\n<tr>\n<td><span style=\"color: #000000;font-family: Tahoma;font-size: small\"><span style=\"font-family: Tahoma;font-size: small\"><span style=\"font-family: Times New Roman;font-size: small\"><span style=\"font-family: Tahoma;font-size: small\"><span style=\"font-family: Times New Roman;font-size: small\"><span style=\"font-family: Tahoma;font-size: small\"><span style=\"font-family: Times New Roman;font-size: small\"><span style=\"font-family: Tahoma;font-size: small\"><br \/>\nAbstract:\u00a0 The analysis of longitudinal data with informative observation processes<br \/>\nhas recently attracted a great deal of attention and some methods have been developed.<br \/>\nHowever, most of those methods treat the observation process as a recurrent event<br \/>\nprocess, which assumes that one observation can immediately follow another.<br \/>\nSometimes, this is not the case, as there may be some delay or observation duration.<br \/>\nSuch a process is often referred to as a recurrent episode process. One example<br \/>\nis the medical cost related to hospitalization, where each hospitalization<br \/>\nserves as a single observation. For the problem, we present a joint analysis<br \/>\napproach for regression analysis of both longitudinal and observation processes and<br \/>\na simulation study is conducted that assesses the finite sample performance<br \/>\nof the approach. The asymptotic properties of the proposed estimates are also<br \/>\ngiven and the method is applied to the medical cost data that motivated this study.<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>(Tony) Jianguo Sun, University of Missouri,\u00a0Columbia MO Title: Regression Analysis of Longitudinal Data with Informative Observation Times and Application to Medical Cost Data Abstract:\u00a0 The analysis of longitudinal data with informative observation processes has recently attracted a great deal of attention and some methods have been developed. However, most of those methods treat the observation [&hellip;]<\/p>\n","protected":false},"author":16,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[8],"tags":[],"class_list":["post-182","post","type-post","status-publish","format-standard","hentry","category-past-talks"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p3kCtT-2W","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/posts\/182","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/comments?post=182"}],"version-history":[{"count":2,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/posts\/182\/revisions"}],"predecessor-version":[{"id":190,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/posts\/182\/revisions\/190"}],"wp:attachment":[{"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/media?parent=182"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/categories?post=182"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/tags?post=182"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}