Sample size determination for the confidence interval of mean comparison adjusted by multiple covariates

被引：0

作者：

Liu, Xiaofeng Steven ^{[1
]}

机构：

[1] Univ S Carolina, Columbia, SC 29208 USA

来源：

STATISTICAL METHODS AND APPLICATIONS | 2013年 / 22卷 / 02期

关键词：

Sample size; Confidence interval; Multiple covariates; ROBUSTNESS;

D O I：

10.1007/s10260-012-0212-5

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：

The current method of determining sample size for confidence intervals does not accommodate multiple covariate adjustment. Under the normality assumption, the effect of multiple covariate adjustment on the standard error of the mean comparison is related to a Hotelling T (2) statistic. Sample size can be calculated to obtain a desired probability of achieving a predetermined width in the confidence interval of the mean comparison with multiple covariate adjustment, given that the confidence interval includes the population parameter.

引用

页码：155 / 166

页数：12

共 19 条

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