Testing the significance of a common ris
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Julio SΓ‘nchez-Meca; Fulgencio MarΔ±Μn-MartΔ±Μnez
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Article
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2000
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Elsevier Science
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English
β 112 KB
Using the Monte Carlo simulation, we estimated the statistical power and Type I error rates of ΓΏve procedures for testing the signiΓΏcance of a common risk di erence in a set of independent 2 Γ 2 tables. It was found that the unweighted procedure for testing the signiΓΏcance of a common risk di erence