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From | Laurie Molina <molinalaurie@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | st: nbvargr for count data |
Date | Thu, 14 Oct 2010 10:42:39 -0500 |
Dear statalist, I am using the command nbvargr (Philip B. Ender UCLA, Office of Academic Computing) as in (http://www.ats.ucla.edu/stat/stata/library/count.htm ). It graphs the distribution of the count data in a data set with the correspondig negative binomial distribution and poisson distribution (with the parameters resulting from the data set) to see which distribution fits the data better. My question is : Why is it useful to do such comparision if the relevant distribution to get efficient estimators when running a poisson or negative binomial regression is the conditional distribution and not the univariate distribution of the dependent variable ? Thank you all as always! LM * * 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/