The behavior of the P-value when the alternative hypothesis is true.
The P-value is a random variable derived from the distribution of the test statistic used to analyze a data set and to test a null hypothesis. Under the null hypothesis, the P-value based on a continuous test statistic has a uniform distribution over the interval [0, 1], regardless of the sample size of the experiment. In contrast, the distribution of the P-value under the alternative hypothesis is a function of both sample size and the true value or range of true values of the tested parameter. The characteristics, such as mean and percentiles, of the P-value distribution can give valuable insight into how the P-value behaves for a variety of parameter values and sample sizes. Potential applications of the P-value distribution under the alternative hypothesis to the design, analysis, and interpretation of results of clinical trials are considered.
Hung
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Division of Biometrics I, Food and Drug Administration, Rockville, Maryland 20852, USA.
O'Neill
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Bauer
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Köhne
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D001699:Biometry; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data*; D006801:Humans; D011336:Probability; D016032:Randomized Controlled Trials as Topic / Q000706:statistics & numerical data