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Stratified studies about risk ratios in 2  × 2 tables with structural zero
Authors:Shun‐Fang Wang  Xue‐Ren Wang
Affiliation:1. School of Information Science and Engineering, Yunnan University, Kunming 650091, China;2. Department of Statistics, Yunnan University, Kunming 650091, China
Abstract:
Incomplete correlated 2 × 2 tables are common in some infectious disease studies and two‐step treatment studies in which one of the comparative measures of interest is the risk ratio (RR). This paper investigates the two‐stage tests of whether K RRs are homogeneous and whether the common RR equals a freewill constant. On the assumption that K RRs are equal, this paper proposes four asymptotic test statistics: the Wald‐type, the logarithmic‐transformation‐based, the score‐type and the likelihood ratio statistics to test whether the common RR equals a prespecified value. Sample size formulae based on hypothesis testing method and confidence interval method are proposed in the second stage of test. Simulation results show that sample sizes based on the score‐type test and the logarithmic‐transformation‐based test are more accurate to achieve the predesigned power than those based on the Wald‐type test. The score‐type test performs best of the four tests in terms of type I error rate. A real example is used to illustrate the proposed methods.
Keywords:likelihood ratio test  logarithmic‐transformation‐based test  risk ratio  score‐type test  stratification
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