Combining P Values And Adjust For Multiple Hypotheses Or The Other Way Around?
I am trying to combine p values from the multiple expression data using fisher's method. The question is this:
Should I combine pvalues first and then adjust for multiple hypothesis testing? or use the adjusted p values and then combine them?
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1 answer
combine, then adjust.
Fisher's method has certain assumptions about what the p-value is that will almost certainly be violated if you do multiple-testing correction first.
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