Hello All: I think this is a simple question that I should know the answer to, but I just want confirmation from others. When you are performing multiple statistical tests on a dataset and correcting for this with some type of multiple comparisons test, such as Bonferroni or False Discovery Rate you need to know how many tests have been performed in order to perform the proper correction. Here's a simple example with linear regression: Y1 = B0 + B1*X1 + B2*X2 + B3*X3 Y2 = B0 + B1*X1 + B2*X2 + B3*X3 So there are two dependent variables, Y1 and Y2 and three predictors X1, X2, X3. It's likely that the values of B1, B2 and B3 will vary between the two equation. Perhaps you've performed 2 tests for Y1 and Y2 or (this is what I think more likely) 6 tests, estimating the values of B1 - B3 in the two contexts. Maybe even 8 tests, if you count the intercepts. I'd like opinions so that I get it right for a paper we're writing. Thanks.
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