Conditional maximum likelihood estimation following a group sequential test

被引：18
|
作者：
Liu, AY
Troendle, JF
Yu, KF
Yuan, VW
机构：
[1] NICHHD, Div Epidemiol Stat & Prevent Res, Dept Hlth & Human Serv, Rockville, MD 20852 USA
[2] US FDA, Ctr Biol Evaluat & Res, Off Biostat & Epidemiol Therapeut Evaluat Branch, Rockville, MD 20852 USA
来源：
BIOMETRICAL JOURNAL | 2004年 / 46卷 / 06期
关键词：
adaptive designs; bias adjustment; conditional bias; interim analysis; secondary endpoints;
D O I：
10.1002/bimj.200410076
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
We consider estimation after a group sequential test. An estimator that is unbiased or has small bias may have substantial conditional bias (Troendle and Yu, 1999, Coburger and Wassmer, 2001). In this paper we derive the conditional maximum likelihood estimators of both the primary parameter and a secondary parameter, and investigate their properties within a conditional inference framework. The method applies to both the usual and adaptive group sequential test designs.
引用
收藏
页码：760 / 768
页数：9
相关论文
共 50 条
12345