Testing the significance of a common risk difference in meta-analysis.
type: Item
instance of: scholarly article
title: Testing the significance of a common risk difference in meta-analysis.
zbMATH Open document ID: 1061.62564
DOI: 10.1016/S0167-9473(99)00055-9
author: J. Sánchez-Meca
author: F. Marín-Martínez
published in: Computational Statistics and Data Analysis
publication date: 2000-08-21T00:00:00Z
review text: Using the Monte Carlo simulation, we estimated the statistical power and Type I error rates of five procedures for testing the significance of a common risk difference in a set of independent \(2\times 2\) tables. It was found that the unweighted procedure for testing the significance of a common risk difference showed Type I error rates systematically larger than the nominal significance level, and that its power was lower than that of the other procedures. The conditional weighted procedure showed the worst performance, with remarkably anomalous results under many of the conditions. Cochran's, Mantel-Haenszel's, and Yusuf's unconditional weighted procedures showed very similar results, with the best performance in both Type I error values and power values.
Mathematics Subject Classification ID: 62N03
Mathematics Subject Classification ID: 65C05
Mathematics Subject Classification ID: 62H17
zbMATH DE Number: 1493184
zbMATH Keywords: Meta-analysis
zbMATH Keywords: Effect size
zbMATH Keywords: Statistical power
zbMATH Keywords: Type I error
zbMATH Keywords: Risk difference
describes a project that uses: SAS
describes a project that uses: GAUSS
MaRDI profile type: Publication
cites work: An evaluation of simple methods for the estimation of a common odds ratio in clusters with variable size
cites work: Some Methods for Strengthening the Common χ 2 Tests
cites work: Q3997553
cites work: A modified random-effect procedure for combining risk difference in sets of 2×2 tables from clinical trials
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full work available at URL: s0167-9473(99)00055-9
OpenAlex ID: W2016140862
description: scientific article; zbMATH DE number 1493184