Identifiability of models for clinical trials with noncompliance - 文章详情页

作者：

Xie, T. (Xie, T..) | Zhang, Z.-Z. (Zhang, Z.-Z..) (学者：张忠占)

收录：

Scopus

摘要：

In　this　article　we　focus　on　clinical　trials　in　which　the　compliance　is　measured　with　random　errors,　and　develop　an　error-in-variables　model　for　the　analysis　of　the　clinical　trials.　With　this　model,　we　separate　the　efficacy　of　prescribed　treatment　from　that　of　the　compliance.　With　additional　information　correlated　with　compliance,　we　prove　that　the　model　is　identifiable,　and　get　estimators　for　the　parameters　of　interest,　including　the　parameter　reflecting　the　efficacy　of　the　treatment.　Furthermore,　we　extend　the　model　to　stratified　populations,　and　discuss　the　asymptotic　properties　of　the　estimators.

关键词：

Asymptotic normality; Clinical trial; Compliance; EV Model; Instrumental Variable

作者机构：

[ 1 ] [Xie, T.]Acad. of Math. and System Sciences, Chinese Academy of Sciences, Beijing 100081, China
[ 2 ] [Xie, T.]Department of Applied Mathematics, Beijing University of Technology, Beijing 100022, China
[ 3 ] [Zhang, Z.-Z.]Department of Applied Mathematics, Beijing University of Technology, Beijing 100022, China

通讯作者信息：

[Xie, T.]Acad. of Math. and System Sciences, Chinese Academy of Sciences, Beijing 100081, China

电子邮件地址：

tianfa2002@yahoo.com

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