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A Note on Monotonicity Assumptions for Exact Unconditional Tests in Binary Matched‐Pairs Designs

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Abstract:

Summary Exact unconditional tests have been widely applied to test the difference between two probabilities for 2 × 2 matched‐pairs binary data with small sample size. In this context, Lloyd (2008, Biometrics 64, 716–723) proposed an E + Mp‐value, that showed better performance than the existing Mp‐value and Cp‐value. However, the analytical calculation of the E + Mp‐value requires that the Barnard convexity condition be satisfied; this can be challenging to prove theoretically. In this article, by a simple reformulation, we show that a weaker condition, conditional monotonicity, is sufficient to calculate all three p‐values (M, C, and E + M) and their corresponding exact sizes. Moreover, this conditional monotonicity condition is applicable to noninferiority tests.

Document Type: Research Article

DOI: http://dx.doi.org/10.1111/j.1541-0420.2011.01593.x

Affiliations: Division of Biostatistics, Department of Environmental Medicine, New York University School of Medicine, New York, New York 10016, U.S.A.

Publication date: December 1, 2011

bpl/biom/2011/00000067/00000004/art00050
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