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This article proposes simultaneous confidence intervals for many-to-one comparisons of risk ratios under Dalla’s model (1988). The construction of these confidence intervals relies on the profile
likelihood, the score test, and the Wald-type test. The Bonferroni correction, the Holm–Bonferroni
correction, and multivariate normal approximations are employed to adjust for the multiplicity
when one makes several statistical inferences simultaneously. According to the simulation studies,
the profile confidence interval with the Holm–Bonferroni correction is recommended as a result of
robust coverage probabilities and satisfactory statistical powers. The application of the proposed
methods are demonstrated via two real examples
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