A note on one-sided tests with multiple endpoints.

Michael D Perlman; Lang Wu

doi:10.1111/j.0006-341x.2004.00159.x

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A note on one-sided tests with multiple endpoints.

Michael D Perlman·Lang Wu

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Abstract

Testing problems with multivariate one-sided alternative hypotheses are common in clinical trials with multiple endpoints. In the case of comparing two treatments, treatment 1 is often preferred if it is superior for at least one of the endpoints and not biologically inferior for the remaining endpoints. Bloch et al. (2001, Biometrics57, 1039-1047) propose an intersection-union test (IUT) for this testing problem, but their test does not utilize the appropriate multivariate one-sided test. In this note we modify their test by an alternative IUT that does utilize the appropriate one-sided test. Empirical and graphical evidence show that the proposed test is more appropriate for this testing problem.

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Biometry Clinical Trials as Topic Endpoint Determination Humans Models, Statistical Monte Carlo Method Multivariate Analysis Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

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Michael D Perlman, Lang Wu. 2004. A note on one-sided tests with multiple endpoints.. https://doi.org/10.1111/j.0006-341x.2004.00159.x

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