Greetings, I want to compare the goodness-of-fit between several different models that I have developed using Logistic Regression. I have been doing some research and am sort of confused on how to do this. I know it is not as simple as in an OLS model, however since there is no "R-squared" value in logistic regression, I was wondering if there was another test statistic I could use. I do not want to compare the fitted models with the null model, but rather two different fitted models.
I know there are several pseudo R-squares that can be used. (Is there a recommended one? Is this even a good way to compare models?) I apologize that this is more of a statistics question than an r specific question, but any advice would be greatly appreciated. Thanks, Jake -- View this message in context: http://r.789695.n4.nabble.com/Comparing-goodness-of-fit-between-two-logistic-regression-models-tp4649410.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
