A Multiple Testing Procedure for Clinical Trials

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ID: 289978
1979
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Abstract
A multiple testing procedure is proposed for comparing two treatments when response to treatment is both dichotomous (i.e., success or failure) and immediate. The proposed test statistic for each test is the usual (Pearson) chi-square statistic based on all data collected to that point. The maximum number (N) of tests and the number (m1 + m2) of observations collected between successive tests is fixed in advance. The overall size of the procedure is shown to be controlled with virtually the same accuracy as the single sample chi-square test based on N(m1 + m2) observations. The power is also found to be virtually the same. However, by affording the opportunity to terminate early when one treatment performs markedly better than the other, the multiple testing procedure may eliminate the ethical dilemmas that often accompany clinical trials.
Reference Key
openalex_W2059707463 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Peter C. O’Brien, Thomas R. Fleming
Journal biometrics
Year 1979
DOI
10.2307/2530245
URL
https://doi.org/10.2307/2530245
Keywords Keywords not found

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