search for: extensions_of_fisher

...d2195964.html#a2305025): fisher.comb <- function (pvalues) { df=length(pvalues) ch2=(-2*sum(log(pvalues))) return pchisq(ch2, df=df, lower.tail=FALSE) } For combination of dependent p-value, I could not find any R code here but there is a method from Brown (http://en.wikipedia.org/wiki/Extensions_of_Fisher%27s_method#Brown.27s_method), in which it is still combine p value in the same way, the only difference is the Chi square distirbution's variance is different from the previous method (using the covariance of the p values). I am not sure how to migrate from the traditional fisher's method...