I'm not sure if this is answered or not because there's a lot of these questions and the ones I looked at didn't answer this.
If I were to say, have five independent variables of interest and one dependent variable, how would I adjust the p-value via Bonferonni (or another method) if there were 2 univariate analyses and 3 bivariate analyses and 1 multivariate analysis.
Let's say independent variables are A, B, C, D, and E and the dependent variable is Y. The analyses are as follows:
Univariates: Y ~ A, Y ~ B where A and B are continuous
Bivariate: Y ~ C + D, Y ~ C + E where C, D, E are binary
Multivariate: Y ~ A + C + D + E where A continuous, C, D, E are binary
Would I say, only do a correction on the p-value for two tests for the two univariate tests, three for the three bivariate, and no correction for the one multivariate test
Correct the alpha boundary p-value for all of the tests since that's the number of total tests.
Do I not adjust them at all? In class I was told to adjust them but for one of my big boy jobs, I was told to not adjust at all for a clinical trial.