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| From | "Vassilopoulos Achilleas" <vassilopoulos.statalist@gmail.com> |
| To | <statalist@hsphsun2.harvard.edu> |
| Subject | RE:st: choosing between two non nested models |
| Date | Wed, 1 Sep 2010 18:10:21 +0300 |
AIC and BIC values given by -glm- estimation adjust the log-likelihood and penalty term by the number of observations in the model. See post: http://www.stata.com/statalist/archive/2009-06/msg00884.html Hope this helps, _____________ - _______________ Achilleas Vassilopoulos Agricultural University of Athens, Dept. of Agricultural Economics and Rural Development, Lab. of Political Economy and European Integration. Iera Odos 75, 11855, Athens, Greece Tel: (+30) 210-5294726 Fax: (+30) 2105294786 e-mail : avassilopoulos.aua@gmail.com -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Richard Williams Sent: Wednesday, September 01, 2010 3:55 PM To: statalist@hsphsun2.harvard.edu; statalist@hsphsun2.harvard.edu Subject: Re: st: choosing between two non nested models At 05:32 AM 9/1/2010, Michael N. Mitchell wrote: >I wonder if AIC and/or BIC may be of help? You can see > >. help estat ic > >for more information. I think this is a longshot, but hope it may pay off. I don't think those stats are legitimate if the observations are different. But I wonder why they are different in the first place? I think you would usually want to be analyzing the same cases if you want to compare two models. It would be easy enough to do a listwise deletion of all cases that have missing data in the two models. ------------------------------------------- Richard Williams, Notre Dame Dept of Sociology OFFICE: (574)631-6668, (574)631-6463 HOME: (574)289-5227 EMAIL: Richard.A.Williams.5@ND.Edu WWW: http://www.nd.edu/~rwilliam * * 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/ * * 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/