Extended tests for non-zero between-study variance

被引：0

作者：

Makambi, K. H. ^{[1
]}

机构：

[1] Georgetown Univ, Dept Biostat Bioinformat & Biomath, Washington, DC 20007 USA

来源：

JOURNAL OF APPLIED STATISTICS | 2013年 / 40卷 / 07期

关键词：

between-study variance; ANOVA model; generalized p-value; type I error rate; power; GENERALIZED P-VALUES; CONFIDENCE-INTERVALS; CLINICAL-TRIALS; F-TEST; METAANALYSIS; MODEL; HYPOTHESES; ANOVA; HETEROGENEITY; COMPONENTS;

D O I：

10.1080/02664763.2013.788616

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 ANOVA F-test, James tests and generalized F-test are extended to test hypotheses on the between-study variance for values greater than zero. Using simulations, we compare the performance of extended test procedures with respect to the actual attained type I error rate. Examples are provided to demonstrate the application of the procedures in ANOVA models and meta-analysis.

引用

页码：1494 / 1505

页数：12

共 30 条

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