Does anyone know of any X^2 tests to compare the fit of logistic models which factor out the sample size? I'm dealing with a very large sample and I fear the significant X^2 test I get when adding a variable to the model is simply a result of the sample size (>200,000 cases).
I'd rather use the whole dataset instead of taking (small) random samples as it is highly skewed. I've seen things like Phi and Cramer's V for crosstabs but I'm not sure whether they have been used before on logistic regression, if there are better ones and if there are any packages. Many thanks Marco [[alternative HTML version deleted]] ______________________________________________ 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.