The problem of combining p‐values from independent experiments is discussed. It is shown that Fisher's solution to the problem can be derived from a “weight‐free” method that has been suggested for the purpose of ranking vector observations (Biometrics 19: 85–97, 1963). The method implies that the value p = 0.37 is a critical one: p‐values below 0.37 suggest that the null hypothesis is more likely to be false, whereas p‐values above 0.37 suggest that it is more likely to be true.
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Robert C. Elston (1991) studied this question.
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