Description Usage Arguments Details Value Author(s) References See Also Examples
Combine independent p-values using the minus log product
1 | fisherMethod(x)
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x |
is an array of independent p-values |
Considering a set of m independent significance tests, the resulted p-values are independent and uniformly distributed between 0 and 1 under the null hypothesis. Fisher's method uses the minus log product of the p-values as the summary statistic, which follows a chi-square distribution with 2m degrees of freedom. This chi-square distribution is used to calculate the combined p-value.
combined p-value
Tin Nguyen and Sorin Draghici
[1] R. A. Fisher. Statistical methods for research workers. Oliver & Boyd, Edinburgh, 1925.
1 2 3 4 5 | x <- rep(0,10)
fisherMethod(x)
x <- runif(10)
fisherMethod(x)
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