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Testing the significance of a common risk difference in meta-analysis

✍ Scribed by Julio Sánchez-Meca; Fulgencio Marı́n-Martı́nez

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
112 KB
Volume
33
Category
Article
ISSN
0167-9473

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✦ Synopsis

Using the Monte Carlo simulation, we estimated the statistical power and Type I error rates of ÿve procedures for testing the signiÿcance of a common risk di erence in a set of independent 2 × 2 tables. It was found that the unweighted procedure for testing the signiÿcance of a common risk di erence showed Type I error rates systematically larger than the nominal signiÿcance 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.

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