Sample size re-estimation in clinical trials

被引：76

作者：

Proschan, Michael A. ^{[1
]}

机构：

[1] NIAID, Bethesda, MD 20892 USA

来源：

BIOMETRICAL JOURNAL | 2009年 / 51卷 / 02期

关键词：

Adaptive clinical trials; Combination functions; Conditional error functions; Sample size re-estimation; Two-stage methods; I ERROR RATE; VARIANCE; DESIGNS; POWER;

D O I：

10.1002/bimj.200800266

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Adaptive clinical trials are becoming very popular because of their flexibility in allowing mid-stream changes of sample size, endpoints, populations, etc. At the same time, they have been regarded with mistrust because they can produce bizarre results in very extreme settings. Understanding the advantages and disadvantages of these rapidly developing methods is a must. This paper reviews flexible methods for sample size re-estimation when the outcome is continuous.

引用

页码：348 / 357

页数：10

共 28 条

[1] EVALUATION OF EXPERIMENTS WITH ADAPTIVE INTERIM ANALYSES [J].