{"id":830,"date":"2020-02-24T19:05:27","date_gmt":"2020-02-24T19:05:27","guid":{"rendered":"http:\/\/jsr.isrt.ac.bd\/?post_type=article&#038;p=830"},"modified":"2020-09-28T17:48:46","modified_gmt":"2020-09-28T17:48:46","slug":"inference-on-mean-quality-adjusted-lifetime-using-joint-models-for-continuous-quality-of-life-process-and-time-to-event","status":"publish","type":"article","link":"http:\/\/jsr.isrt.ac.bd\/article\/inference-on-mean-quality-adjusted-lifetime-using-joint-models-for-continuous-quality-of-life-process-and-time-to-event\/","title":{"rendered":"Inference on mean quality-adjusted lifetime using joint models for continuous quality of life process and time to event"},"content":{"rendered":"<p class=\"p1\">The estimated <span class=\"s1\">a<\/span><span class=\"s2\">v<\/span>erage treatment e<span class=\"s1\">f<\/span>fect in obser<span class=\"s1\">v<\/span>ational stud<span class=\"s2\">i<\/span>es is biased if the assumptions of ignorability and <span class=\"s2\">ov<\/span>erlap are not satis\ufb01ed. <span class=\"s3\">T<\/span>o deal with this potential problem when propensity score weights <span class=\"s2\">a<\/span>re used <span class=\"s2\">i<\/span>n the es<span class=\"s2\">t<\/span>imation of the treatment e<span class=\"s1\">f<\/span>fects, in this paper we propose a bootstrap bias correction estimator for the <span class=\"s1\">a<\/span><span class=\"s2\">v<\/span>erage treatment e<span class=\"s1\">f<\/span>fect (<span class=\"s4\">A<\/span>TE) obtained with the i<span class=\"s5\">n<\/span><span class=\"s2\">v<\/span>erse propensity score (BBC-IPS) estimato<span class=\"s6\">r<\/span>. <span class=\"s3\">W<\/span>e sh<span class=\"s1\">o<\/span>w in simulations that the BBC-IPC performs well when we h<span class=\"s1\">a<\/span><span class=\"s2\">v<\/span>e misspeci\ufb01cations of the propensity score (PS) due to: omitted <span class=\"s1\">v<\/span>ariables (ignorability property may not be satis\ufb01ed), <span class=\"s2\">ov<\/span>erlap (imbalances in distri<span class=\"s1\">b<\/span>ution between treatment and control groups) and confounding e<span class=\"s1\">f<\/span>fects between obser<span class=\"s1\">v<\/span>ables and unobser<span class=\"s1\">v<\/span>ables (endogeneity). Further re\ufb01nements in bias reductions of the <span class=\"s4\">A<\/span>TE estimates in smaller samples are attained by iterating the BBC-IPS estimato<span class=\"s6\">r<\/span>.<\/p>\n<p><a href=\"http:\/\/jsr.isrt.ac.bd\/wp-content\/uploads\/53n2_5.pdf\">Fulltext: <\/a><a href=\"https:\/\/doi.org\/10.47302\/jsr.2019530205\">https:\/\/doi.org\/10.47302\/jsr.2019530205<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The estimated average treatment effect in observational studies is biased if the assumptions of ignorability and overlap are not satis\ufb01ed. To deal with this potential problem when propensity score weights are used in the estimation of the treatment effects, in this paper we propose a bootstrap bias correction estimator for the average treatment effect (ATE) [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","format":"standard","meta":{"_mi_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"issuem_issue":[26],"issuem_issue_categories":[],"issuem_issue_tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Inference on mean quality-adjusted lifetime using joint models for continuous quality of life process and time to event - JSR<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/jsr.isrt.ac.bd\/article\/inference-on-mean-quality-adjusted-lifetime-using-joint-models-for-continuous-quality-of-life-process-and-time-to-event\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Inference on mean quality-adjusted lifetime using joint models for continuous quality of life process and time to event - JSR\" \/>\n<meta property=\"og:description\" content=\"The estimated average treatment effect in observational studies is biased if the assumptions of ignorability and overlap are not satis\ufb01ed. To deal with this potential problem when propensity score weights are used in the estimation of the treatment effects, in this paper we propose a bootstrap bias correction estimator for the average treatment effect (ATE) [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/jsr.isrt.ac.bd\/article\/inference-on-mean-quality-adjusted-lifetime-using-joint-models-for-continuous-quality-of-life-process-and-time-to-event\/\" \/>\n<meta property=\"og:site_name\" content=\"JSR\" \/>\n<meta property=\"article:modified_time\" content=\"2020-09-28T17:48:46+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/jsr.isrt.ac.bd\/article\/inference-on-mean-quality-adjusted-lifetime-using-joint-models-for-continuous-quality-of-life-process-and-time-to-event\/\",\"url\":\"https:\/\/jsr.isrt.ac.bd\/article\/inference-on-mean-quality-adjusted-lifetime-using-joint-models-for-continuous-quality-of-life-process-and-time-to-event\/\",\"name\":\"Inference on mean quality-adjusted lifetime using joint models for continuous quality of life process and time to event - JSR\",\"isPartOf\":{\"@id\":\"https:\/\/jsr.isrt.ac.bd\/#website\"},\"datePublished\":\"2020-02-24T19:05:27+00:00\",\"dateModified\":\"2020-09-28T17:48:46+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/jsr.isrt.ac.bd\/article\/inference-on-mean-quality-adjusted-lifetime-using-joint-models-for-continuous-quality-of-life-process-and-time-to-event\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/jsr.isrt.ac.bd\/article\/inference-on-mean-quality-adjusted-lifetime-using-joint-models-for-continuous-quality-of-life-process-and-time-to-event\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/jsr.isrt.ac.bd\/article\/inference-on-mean-quality-adjusted-lifetime-using-joint-models-for-continuous-quality-of-life-process-and-time-to-event\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/jsr.isrt.ac.bd\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Articles\",\"item\":\"https:\/\/jsr.isrt.ac.bd\/article\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Inference on mean quality-adjusted lifetime using joint models for continuous quality of life process and time to event\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/jsr.isrt.ac.bd\/#website\",\"url\":\"https:\/\/jsr.isrt.ac.bd\/\",\"name\":\"JSR\",\"description\":\"Journal of Statistical Research\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/jsr.isrt.ac.bd\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Inference on mean quality-adjusted lifetime using joint models for continuous quality of life process and time to event - JSR","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/jsr.isrt.ac.bd\/article\/inference-on-mean-quality-adjusted-lifetime-using-joint-models-for-continuous-quality-of-life-process-and-time-to-event\/","og_locale":"en_US","og_type":"article","og_title":"Inference on mean quality-adjusted lifetime using joint models for continuous quality of life process and time to event - JSR","og_description":"The estimated average treatment effect in observational studies is biased if the assumptions of ignorability and overlap are not satis\ufb01ed. To deal with this potential problem when propensity score weights are used in the estimation of the treatment effects, in this paper we propose a bootstrap bias correction estimator for the average treatment effect (ATE) [&hellip;]","og_url":"https:\/\/jsr.isrt.ac.bd\/article\/inference-on-mean-quality-adjusted-lifetime-using-joint-models-for-continuous-quality-of-life-process-and-time-to-event\/","og_site_name":"JSR","article_modified_time":"2020-09-28T17:48:46+00:00","twitter_card":"summary_large_image","twitter_misc":{"Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/jsr.isrt.ac.bd\/article\/inference-on-mean-quality-adjusted-lifetime-using-joint-models-for-continuous-quality-of-life-process-and-time-to-event\/","url":"https:\/\/jsr.isrt.ac.bd\/article\/inference-on-mean-quality-adjusted-lifetime-using-joint-models-for-continuous-quality-of-life-process-and-time-to-event\/","name":"Inference on mean quality-adjusted lifetime using joint models for continuous quality of life process and time to event - JSR","isPartOf":{"@id":"https:\/\/jsr.isrt.ac.bd\/#website"},"datePublished":"2020-02-24T19:05:27+00:00","dateModified":"2020-09-28T17:48:46+00:00","breadcrumb":{"@id":"https:\/\/jsr.isrt.ac.bd\/article\/inference-on-mean-quality-adjusted-lifetime-using-joint-models-for-continuous-quality-of-life-process-and-time-to-event\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/jsr.isrt.ac.bd\/article\/inference-on-mean-quality-adjusted-lifetime-using-joint-models-for-continuous-quality-of-life-process-and-time-to-event\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/jsr.isrt.ac.bd\/article\/inference-on-mean-quality-adjusted-lifetime-using-joint-models-for-continuous-quality-of-life-process-and-time-to-event\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/jsr.isrt.ac.bd\/"},{"@type":"ListItem","position":2,"name":"Articles","item":"https:\/\/jsr.isrt.ac.bd\/article\/"},{"@type":"ListItem","position":3,"name":"Inference on mean quality-adjusted lifetime using joint models for continuous quality of life process and time to event"}]},{"@type":"WebSite","@id":"https:\/\/jsr.isrt.ac.bd\/#website","url":"https:\/\/jsr.isrt.ac.bd\/","name":"JSR","description":"Journal of Statistical Research","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/jsr.isrt.ac.bd\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"}]}},"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"http:\/\/jsr.isrt.ac.bd\/wp-json\/wp\/v2\/article\/830"}],"collection":[{"href":"http:\/\/jsr.isrt.ac.bd\/wp-json\/wp\/v2\/article"}],"about":[{"href":"http:\/\/jsr.isrt.ac.bd\/wp-json\/wp\/v2\/types\/article"}],"author":[{"embeddable":true,"href":"http:\/\/jsr.isrt.ac.bd\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/jsr.isrt.ac.bd\/wp-json\/wp\/v2\/comments?post=830"}],"version-history":[{"count":0,"href":"http:\/\/jsr.isrt.ac.bd\/wp-json\/wp\/v2\/article\/830\/revisions"}],"wp:attachment":[{"href":"http:\/\/jsr.isrt.ac.bd\/wp-json\/wp\/v2\/media?parent=830"}],"wp:term":[{"taxonomy":"issuem_issue","embeddable":true,"href":"http:\/\/jsr.isrt.ac.bd\/wp-json\/wp\/v2\/issuem_issue?post=830"},{"taxonomy":"issuem_issue_categories","embeddable":true,"href":"http:\/\/jsr.isrt.ac.bd\/wp-json\/wp\/v2\/issuem_issue_categories?post=830"},{"taxonomy":"issuem_issue_tags","embeddable":true,"href":"http:\/\/jsr.isrt.ac.bd\/wp-json\/wp\/v2\/issuem_issue_tags?post=830"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}