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  • $\begingroup$ Marginal effects are much more difficult to interpret and depend on the both the covariate distributions in the sample and in the population. What's wrong with the simple intepretable compare like-with-like effects that come automatically out of logistic regression? fharrell.com/post/robcov $\endgroup$ Commented Aug 21, 2022 at 11:19
  • $\begingroup$ I feel like logit coefficients aren't always directly comparable across models (doi.org/10.1016/j.ssresearch.2022.102802), although not sure if that particular issue is applicable here. I also think that many people find logit coefficients and odds ratios very challenging to interpret because we don't have a good intuition about odds (or especially log odds). We're much more used to thinking in terms of changes in probabilities, which is something that (despite their problems) marginal effects allows. $\endgroup$ Commented May 7 at 19:16