A METHOD OF POWER ASSESSMENT FOR TESTS COMPARING SEVERAL TREATMENTS WITH A CONTROL

被引：15

作者：

HAYTER, AJ

LIU, W

机构：

[1] GEORGIA INST TECHNOL,SCH IND & SYST ENGN,ATLANTA,GA 30332

[2] UNIV SOUTHAMPTON,DEPT MATH,SOUTHAMPTON SO9 5NH,HANTS,ENGLAND

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1992年 / 21卷 / 07期

关键词：

NORMAL DATA; BERNOULLI DATA; LEAST FAVORABLE CONFIGURATION; SAMPLE SIZE DETERMINATION; POWER FUNCTION;

D O I：

10.1080/03610929208830885

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

A method of power assessment for the problem of comparing several treatments with a control is considered. Power assessment is based on the power function of a two-sided hypothesis test that none of the treatments is different from the control. Normally distributed data and binary response data are considered. Minimum power levels are found under certain easily interpretable range conditions on the treatment and control means or success probabilities. Expressions are provided allowing simple computer evaluation of minimum guaranteed power levels, and some illustrative tables of power levels are given.

引用

页码：1871 / 1889

页数：19

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