When Should We Use Multiple Comparison Adjustments?
Adjusting for multiple comparisons is crucial in studies where multiple hypotheses are being tested simultaneously. Examples include:
Genome-Wide Association Studies (GWAS): These studies test associations between a large number of genetic variants and diseases, making adjustments essential to avoid false positives. Clinical Trials with Multiple Outcomes: When a trial examines the effects of an intervention on several outcomes, adjustments are necessary to ensure valid conclusions. Subgroup Analyses: When researchers perform analyses on multiple subgroups within a study, adjustments help mitigate the risk of spurious findings.
