{"id":18129,"date":"2024-03-01T14:57:34","date_gmt":"2024-03-01T06:57:34","guid":{"rendered":"https:\/\/survey.sinica.edu.tw\/?p=18129"},"modified":"2024-05-21T09:44:23","modified_gmt":"2024-05-21T01:44:23","slug":"%e3%80%90%e5%b0%88%e9%a1%8c%e6%bc%94%e8%ac%9b%e3%80%91robust-best-linear-weighted-estimator-with-missing-covariates-in-survival-analysis3-21","status":"publish","type":"post","link":"https:\/\/survey.sinica.edu.tw\/?p=18129&lang=zh","title":{"rendered":"\u3010\u5c08\u984c\u6f14\u8b1b\u3011Robust Best Linear Weighted Estimator with Missing Covariates in Survival Analysis(3\/21)"},"content":{"rendered":"\t\t
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\u8b1b\u984c\uff1a<\/strong>Robust Best Linear Weighted Estimator with Missing Covariates in Survival Analysis<\/p>

\u8b1b\u8005\uff1a<\/strong>Professor Ching-Yun Wang\uff08\u738b\u6e05\u96f2\u6559\u6388\uff09<\/a>\/ Division of Public Health Sciences, Fred Hutchinson Cancer Research Center<\/p>

\u6642\u9593\uff1a2024 \/ 3 \/ 21\uff08\u9031\u56db\uff09\u4e0b\u5348 2:00<\/strong><\/p>

\u5730\u9ede\uff1a<\/strong>\u4e2d\u7814\u9662\u4eba\u793e\u4e2d\u5fc3\u7b2c\u4e00\u6703\u8b70\u5ba4\u53caWebex\u7dda\u4e0a\u6703\u8b70\u5ba4\uff08hybrid\uff09<\/p>

\u6703\u8b70\u9023\u7d50\uff1ahttps:\/\/reurl.cc\/G4LgMG<\/a>
\u6703\u8b70\u865f\uff1a2519 939 0809
\u5bc6\u78bc\uff1a0321<\/p>

\u6f14\u8b1b\u6458\u8981\uff1a<\/strong>
Missing data in the covariates can result in biased estimates and loss of power to detect associations. We consider Cox regression in which some covariates are subject to missing. The inverse probability weighted approach is often applied to regression analysis with missing covariates. Inverse probability weighted estimators typically are less efficient than likelihood-based estimators, but in general are more robust against model misspecification. In this research, we propose a robust best linear weighted estimator for Cox regression with missing covariates. Our proposed estimator is the projection of the simple inverse probability weighted estimator onto the orthogonal complement of the score space based on a working regression model of the observed data. The efficiency gain is from the use of the association between the survival outcome variable and the available covariates, which is the working regression model. The asymptotic distribution is derived, and the finite sample performance of the proposed estimator is examined via extensive simulation studies. The methods are applied to a colorectal cancer study to assess the association of the microsatellite instability status with colorectal cancer\u2013specific mortality.<\/p>

\u4e3b\u8fa6\u55ae\u4f4d\uff1a<\/strong>\u4e2d\u7814\u9662\u4eba\u793e\u4e2d\u5fc3\u8abf\u67e5\u7814\u7a76\u5c08\u984c\u4e2d\u5fc3
\u806f\u7d61\u4eba\uff1a<\/strong>csrevent@gate.sinica.edu.tw \u8b1d\u5c0f\u59d0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

\u8b1b\u984c\uff1aRobust Best Linear Weighted Estimator with Missing C […]<\/p>\n","protected":false},"author":1,"featured_media":18131,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[315],"tags":[],"class_list":["post-18129","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-semi2"],"_links":{"self":[{"href":"https:\/\/survey.sinica.edu.tw\/index.php?rest_route=\/wp\/v2\/posts\/18129","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/survey.sinica.edu.tw\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/survey.sinica.edu.tw\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/survey.sinica.edu.tw\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/survey.sinica.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=18129"}],"version-history":[{"count":8,"href":"https:\/\/survey.sinica.edu.tw\/index.php?rest_route=\/wp\/v2\/posts\/18129\/revisions"}],"predecessor-version":[{"id":18547,"href":"https:\/\/survey.sinica.edu.tw\/index.php?rest_route=\/wp\/v2\/posts\/18129\/revisions\/18547"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/survey.sinica.edu.tw\/index.php?rest_route=\/wp\/v2\/media\/18131"}],"wp:attachment":[{"href":"https:\/\/survey.sinica.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=18129"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/survey.sinica.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=18129"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/survey.sinica.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=18129"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}