I think you could get the p-valueus for the clusters and do FDR on those (or maybe the most significant of more than one cluster in a given comparison)
On 9/11/19 9:26 AM, Annelies Vant Westeinde wrote: External Email - Use Caution Dear members, I have run several analyses in which we correlate cognitive performance with vertex-wise cortical surface area, thickness and volume. We ran monte carlo simulation for each correlation. However, we would like to correct the outcome for the number of associations we did, that is for the for 10 different cognitive scales that we tested. How can this be done? We would rather not use bonferroni correction, as it is so strict, but would prefer fdr. Do we need to somehow get the p-values of the cluster peaks that correlated with the cognitive scales and do FDR on those? Or should we adjust the monte carlo simulation threshold to account for the 10 different tests? Thank you in advance, Annelies Annelies van't Westeinde | PHD Candidate Department of Women's and Children's Health | Karolinska Institutet 171 77 Solna | Karolinskavägen 37A +46 760967499 annelies.vant.westei...@ki.se<mailto:annelies.vant.westei...@ki.se> | ki.se<http://ki.se/en/startpage> ______________________________________ Karolinska Institutet – a medical university När du skickar e-post till Karolinska Institutet (KI) innebär detta att KI kommer att behandla dina personuppgifter. Här finns information om hur KI behandlar personuppgifter<https://ki.se/medarbetare/integritetsskyddspolicy>. Sending email to Karolinska Institutet (KI) will result in KI processing your personal data. You can read more about KI’s processing of personal data here<https://ki.se/en/staff/data-protection-policy>. _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu<mailto:Freesurfer@nmr.mgh.harvard.edu> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
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