Testing the significance of a common ris
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Julio Sánchez-Meca; Fulgencio Marı́n-Martı́nez
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Article
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2000
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Elsevier Science
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English
⚖ 112 KB
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