I ran logistic regression models last week using glm (...,family=binomial) and got a set of results. Since then I have loaded the Epi package for ROC analysis. Now when I run those same models I get completely different results, with most being: Warning message: fitted probabilities numerically 0 or 1 occurred in: glm.fit(x = X, y = Y, weights = weights, start = start, etastart = etastart, I didn't get this result last week. Also, the ROC function in Epi is no longer working (giving a ROC of 1.000). What would have changed to cause this and how can I fix it? p.s. To check I ran the same model in S and have the same result as last week. Philip
Something changed and glm(..., family=binomial) doesn't work now
2 messages · Philip Riggs, Peter Dalgaard
Philip Riggs <priggs at warnercnr.colostate.edu> writes:
I ran logistic regression models last week using glm (...,family=binomial) and got a set of results. Since then I have loaded the Epi package for ROC analysis. Now when I run those same models I get completely different results, with most being: Warning message: fitted probabilities numerically 0 or 1 occurred in: glm.fit(x = X, y = Y, weights = weights, start = start, etastart = etastart, I didn't get this result last week. Also, the ROC function in Epi is no longer working (giving a ROC of 1.000). What would have changed to cause this and how can I fix it? p.s. To check I ran the same model in S and have the same result as last week.
Do you mean "load" or "install" Epi?? If the latter, does it matter whether you use library(Epi) or not? However: This sort of trouble usually means that you are not really fitting the same models to the same data. The warning and the ROC suggests that you have something in your model that gives perfect separation between successes and failures. Are you using data=myframe in the glm call? Otherwise, you're open to masking by variables in your workspace.
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