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单侧二项检验的合并AI 解读

Six methods of combining k independent binomial test statistics are compared with respect to their median significance levels, asymptotic relative efficiencies, and accuracy of null distribution approximations. The test statistics considered are the minimum significance level, Fisher's omnibus test, the likelihood ratio, an approximate likelihood ratio, the Mantel-Haenszel statistic, and the sum of chis. Fisher's test and the likelihood ratio perform relatively well for all…

单侧二项检验的合并AI 解读

Six methods of combining k independent binomial test statistics are compared with respect to their median significance levels, asymptotic relative efficiencies, and accuracy of null distribution approximations. The test statistics considered are the minimum significance level, Fisher's omnibus test, the likelihood ratio, an approximate likelihood ratio, the Mantel-Haenszel statistic, and the sum of chis. Fisher's test and the likelihood ratio perform relatively well for all…