Short notes on maximum likelihood inference for control-based pattern-mixture models

被引：6

作者：

Tang, Yongqiang ^{[1
]}

机构：

[1] Shire, Lexington, MA 02421 USA

来源：

PHARMACEUTICAL STATISTICS | 2015年 / 14卷 / 05期

关键词：

pattern-mixture model; mixed-effects model repeated measures; delta variance; missing not at random; MULTIPLE-IMPUTATION;

D O I：

10.1002/pst.1698

中图分类号：

R9 [药学];

学科分类号：

1007 ;

摘要：

A likelihood-based analytical approach has been proposed for the control-based pattern-mixture model and its extension. In this note, we derive equivalent but simpler analytical expressions for the treatment effect and its variance for these control-based pattern mixture models. Our formulae are easier to use and interpret. An application of our formulae to an antidepressant trial is provided, in which the likelihood-based analysis is compared with the multiple imputation approach. Copyright (C) 2015 JohnWiley & Sons, Ltd.

引用

页码：395 / 399

页数：5

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