What are the (best) methods for multiple comparisons correction with bootstrap for multiple glm models?
See the related, but old question: Correcting p values for multiple tests where tests are correlated (genetics). Multiple comparison methods based on bootstrap have the advantage of taking account of ...
An econometrician told me that I shouldn't keep adding new variables to the model even if I have reason to believe they're relevant to the response variable, as it "reduces the efficiency of the other ...
What rules should guide scaling variables to maximise interpretation, particularly within a regression context?
Context: In this previous question @adhesh asked about the benefits of coding a binary variable zero-one rather than one-two. I realised when I wrote this answer that I had quite a lot to say about ...