Methods to adjust for multiple comparisons in the analysis and sample size calculation of randomised controlled trials with multiple primary outcomes

@monkey_reg Think this is what you're after https://t.co/vYSUCgZPUU

@RappaportPhD @quantitudepod This is an article I’ve found useful for comparing those methods in a psych context https://t.co/Aw64fnAHTW

@giollabhui Also, not sure if this is easily extended to bootstrapped effects, but there is a package described in this paper (cntrl+F "confidence interval") that can adjust confidence intervals if you use Bonferroni or Holm corrections https://t.co/LaPxpK

@topherhuebel @vineet_chopra @venkmurthy The subject of when & how to best adjust for multiple comparisons is messy, & controversial in places. However, IMO the original Bonferroni correct is overly conservation & I prefer approaches that adjus