how to report logistic regression results
Edwin Commandeur wrote:
Dear all, I am comparing logistic regression models to evaluate if one predictor explains additional variance that is not yet explained by another predictor. As far as I understand Baron and Li describe how to do this, but my question is now: how do I report this in an article? Can anyone recommend a particular article that shows a concrete example of how the results from te following simple modeling can be reported: glm1 = glm(DV ~ A, family = binomial) glm2 = glm(DV ~ A + B, family = binomial) anova(glm1, glm2, test = "Chisq") Any help on how this simple kind of modeling should be reported is appreciated. Greetings, Edwin Commandeur
There are many ways, including odds ratios and partial effect plots and
Brier scores. For a pure likelihood measure I talk about an 'adequacy
index' (adequacy of the smaller model) in my book, which was used in a
medical paper:
@ARTICLE{cal85,
author = {Califf, R. M. and Phillips, H. R. and others},
year = 1985,
title = {Prognostic value of a coronary artery jeopardy score},
journal = J Am Coll Cardiology,
volume = 5,
pages = {1055-1063}
}
Frank Harrell
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Frank E Harrell Jr Professor and Chair School of Medicine
Department of Biostatistics Vanderbilt University