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Hello everyone, </div>
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I have run multiple cluster-based permutation analysis and I am wondering if I need to correct for running multiple time and how exactly would I do that? I know there was a previous thread that suggested using Bonferroni correction but not how to apply the
correction. If I run the cluster analysis 9 times in total based on different time windows and comparing different conditions, would I divide 0.05 by 9 to get a corrected p-value of 0.00555? Or do I need to correct based on the total number of clusters found
from the 9 times I ran the analysis? So, for example lets say each time I ran the analysis I found a positive and negative cluster leading to 18 different p-values, would the correction be 0.05 divided by 18?</div>
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Thank you, </div>
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<strong>David Prete</strong><br>
<span style="font-size: 12px; color: rgb(68, 68, 68);">(He/Him/His)</span></p>
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PhD Candidate</p>
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Auditory Development Lab</p>
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<span style="font-family: Arial; font-size: 11px; color: rgb(68, 68, 68);">McMaster Institute for Music and the Mind </span></p>
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Psychology, Neuroscience and Behaviour</p>
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<img alt="Envelope icon" width="12" height="12" style="width:12px;height:12px" src="https://documents.mcmaster.ca/www/brighterworld/signature/ico-mail-lg.gif"> email:<span> </span><a href="mailto:preted@mcmaster.ca" style="color: rgb(122, 0, 60);">preted@mcmaster.ca</a><br>
<img alt="Globe icon" width="12" height="12" style="width:12px;height:12px" src="https://documents.mcmaster.ca/www/brighterworld/signature/ico-globe-lg.gif"> <a href="https://scholar.google.com/citations?user=BuSjTfAAAAAJ&hl=en" style="color: rgb(122, 0, 60);">Google
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