Tables of sample sizes for pair-matched studies with binary outcome are presented. They are based on conditional and unconditional approaches using the 'exact' (binomial) test. An approximate procedure is suggested to estimate the sample size for parameter values that do not correspond exactly with table entries. The procedure utilizes a minor modification of the large-sample formula given by Connett et al. A practical strategy for estimating the overall sample size in the presence of a nuisance parameter (the proportion of discordant pairs) is recommended. An example from a proposed clinical trial is given.
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Department of Mathematics, Hong Kong Baptist University, Hong Kong, Kowloon TongDepartment of Mathematics, Hong Kong Baptist University, Hong Kong, Kowloon Tong
Tang M.-L.
Li H.-Q.
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Department of Statistics, Yunnan UniversityDepartment of Mathematics, Hong Kong Baptist University, Hong Kong, Kowloon Tong
Li H.-Q.
Chan I.S.F.
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Clinical Biostatistics, Merck Research Laboratories, North WalesDepartment of Mathematics, Hong Kong Baptist University, Hong Kong, Kowloon Tong
Chan I.S.F.
Tian G.-L.
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Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong, Pokfulam RoadDepartment of Mathematics, Hong Kong Baptist University, Hong Kong, Kowloon Tong