GROUP SEQUENTIAL DESIGNS USING A FAMILY OF TYPE-I ERROR-PROBABILITY SPENDING FUNCTIONS

被引：163

作者：

HWANG, IK

SHIH, WJ

DECANI, JS

机构：

[1] Biostatistics & Research Data Systems, Merck Sharp & Dohme Research Laboratories, Rahway, New Jersey

[2] Department of Statistics, Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania

来源：

STATISTICS IN MEDICINE | 1990年 / 9卷 / 12期

关键词：

D O I：

10.1002/sim.4780091207

中图分类号：

Q [生物科学];

学科分类号：

07 [理学]; 0710 [生物学]; 09 [农学];

摘要：

Performing planned or unplanned interim analyses on accumulating data in clinical trials is a frequent practice. In this paper, we propose a general one‐parameter family of type I error probability spending functions to construct customized group sequential boundaries with unequal increments in information time. This proposed family generalizes the spending functions of Lan and DeMets1 and Kim and DeMets.2 We give an example to illustrate the use of this family. Copyright © 1990 John Wiley & Sons, Ltd.

引用

页码：1439 / 1445

页数：7

共 10 条

[1]

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[2]

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[10]

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