One of my Phd students recently received reviewer comments for a submitted paper in which she presented 9 univariate ACE models on separate outcome measures. One of the reviewers asked: “Please indicate how correction for multiple comparisons was handled for the genetic modeling. Given that several brain regions were being analyzed, what statistical threshold was used?”
First of all, is any such correction really needed for 9 outcomes?
Second, how would we go about performing such a correction in openmx? What output I'm used to seeing reported in papers often includes the p-value only for selection of the best fitting model, and the path loadings obtained from the model, but no p-values for these path loadings.
Thanks.
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