Extended tests for non-zero between-study variance

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 d...

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Bibliographic Details
Published inJournal of applied statistics Vol. 40; no. 7; pp. 1494 - 1505
Main Author Makambi, K. H.
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 01.07.2013
Taylor & Francis Ltd
Subjects
Analysis of variance
ANOVA model
Applied statistics
between-study variance
Computer simulation
Errors
generalized p-value
Hypotheses
Hypothesis testing
Mathematical models
Meta-analysis
power
Studies
Test methods
type I error rate
Variance
Variance analysis
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0266-4763
1360-0532
DOI:10.1080/02664763.2013.788616