Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
From | Alexander Bailey <balcheeks@googlemail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | st: Panel count data |
Date | Thu, 6 Sep 2012 19:07:54 +0200 |
I have panel count data, which i have being trying to model using the quasi-poisson model to correct for overdispersion. glm stocklosses L.lynx L.feraldogs L.jackal L.ratelhoneybadger rain L.rain distance, family(poisson) link(log) scale (x2) Is this incorrect? If so what model should I use? If it is the correct approach how do I assess the fit of the model? Finally There is a fairly large incidents of zeros in my data, but stata does not allow me to use the zero-inflated commands with lagged explanatory variables which is crucial to my model. Thanks for the help, Alex * * 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/