Journal
STATISTICS IN MEDICINE
Volume 27, Issue 26, Pages 5377-5391Publisher
WILEY
DOI: 10.1002/sim.3369
Keywords
clinical trials; multiple primary endpoints; adaptive alpha allocation
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If a trial is adequately powered for two clinically important endpoints, A and B, each of which can fully characterize a treatment benefit to Support a regulatory claim by itself, then both endpoints are usually labeled primary, and the trial is deemed positive if either endpoint is statistically significant after a multiplicity adjustment. However, if only A is adequately powered, then should B be designated a secondary endpoint, or should it be retained in the primary family despite being (potentially) underpowered? The former option can lead to a negative trial if A is not statistically significant, no matter how positive the results are for B, since no familywise type I error rate (FWER) is allocated to B, while the latter can reduce the likelihood of a positive trial if an inefficient multiplicity adjustment is used. We underscore this contemporary problem with real examples and offer a novel and intuitively appealing solution for accommodating clinically important but potentially underpowered endpoint(s) in the primary family. In our proposal, for the above scenario with two endpoints, A is tested at a prespecified level alpha(1)=alpha-epsilon (e.g. epsilon=0.01 when alpha=0.05), and B at an 'adaptive' level alpha(2) (<=alpha) calculated using a prespecified non-increasing function of the p-value for A. Our method controls the FWER at level alpha and can notably increase the probability of achieving a positive trial compared with a fixed prospective alpha allocation scheme (Control. Clin. Trials 2000; 20:40-49), and with Hochberg's method applied to the family of primary endpoints. Importantly, our proposal enables strong results for potentially underpowered primary endpoint(s) to be interpreted in a Conclusive rather than exploratory light. Copyright (C) 2008 John Wiley & Sons, Ltd.
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