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From | "Nick Cox" <n.j.cox@durham.ac.uk> |
To | <statalist@hsphsun2.harvard.edu> |
Subject | st: RE: model fit comparison for xtgee |
Date | Thu, 24 Jun 2010 11:12:55 +0100 |
This is an FAQ: How can I get an R-squared value when a Stata command does not supply one? http://www.stata.com/support/faqs/stat/rsquared.html Nick n.j.cox@durham.ac.uk tlum@umn.edu I am comparing two xtgee models to see how much explanatory power has increased by adding a block of variables. I did a hausman test and the null hypothesis was rejected. I do want to know how much more variance was explained by the new variables. Can the xtgee generate something like r-square type model fit index. Or is there anyway I can come up with some formal indicators for improvement in model fit under the new model. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/