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This tag is for questions about the techniques, strategies, or philosophy in the book "Regression Modeling Strategies".

1 vote
Accepted

What to do when some categories have too few observations

Where there's the smoke of an ordinal variable, there's the fire of a latent continuous variable smoldering beneath it. If you can conceive of such a latent variable in this case, NonSleeper, then you …
David C. Norris's user avatar
5 votes
0 answers
638 views

Permuting the formula argument to Hmisc:aregImpute

In Frank Harrell's RMS Short Course today, I became aware that multiple imputation with Hmisc:aregImpute is not invariant to the ordering of terms in its formula argument, and that one therefore ought …
David C. Norris's user avatar
3 votes
Accepted

Permuting the formula argument to Hmisc:aregImpute - how to evaluate?

@user94240, I would take the view that uncertainty about the stability of the model fit under alternative choices of formula permutation is just one kind of 'model uncertainty'. Each possible permutat …
David C. Norris's user avatar
5 votes

Should I remove non-significant variables from my regression model

NB: A corollary to Frank Harrell's answer is that stepwise variable selection should not be used in the first place. That is, not only is it a mistake to discard that final 'leftover' non-significant …
David C. Norris's user avatar
3 votes

Selecting most important variable based on individual p-value vs. partial $R^2$

Stepping back a bit from the mechanistic workings of regression, and looking at the 'information economics' here, I see several missed opportunities in your approach to the data, JCB. Most importantly …
David C. Norris's user avatar
2 votes

The role of validation in estimation and hypothesis testing

Johan, your excellent question has two aspects: positive -- Why do people actually do that? normative -- What should one do? Frank Harrell has answered the normative question; I would like to weig …
David C. Norris's user avatar