Hi, I ran the multinominal regression model with GLIMMIX procedure. The outcome variable has 7 categories and some of the categories contain small frequency counts or no event at all. The data is very sparse. On the Odds Ratio estimates output, there are estimates labelled as either "<0.001" or ">999.999". On the 95% confidence limits, some of the estimates are printed as "." What are the differences between ">999.999" or "<0.0001" vs "." In the case where I obtain OR='<0.001', the beta estimate is a very large negative number (example -9.6) In the case where I obtain OR='>999.999", the beta estimate is a very large positive number (example, 12.87) I believe ">999.999' and "<0.001" are SAS formats to label extremely large or small values, respectively . What about in place where I got "." Does "." means that the value is not estimable or exp(beta)=infinity? Is there a citation or documentation on these? Thank you Thank you so much!
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