Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
From | Stas Kolenikov <skolenik@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: pseudo R square after svy logistic regression |
Date | Thu, 29 Nov 2012 23:47:46 -0600 |
If you need a goodness of fit test for survey logistic regression, you could look into Archer-Lemeshow test implemented in -estat gof-. -- -- Stas Kolenikov, PhD, PStat (SSC) :: http://stas.kolenikov.name -- Senior Survey Statistician, Abt SRBI :: work email kolenikovs at srbi dot com -- Opinions stated in this email are mine only, and do not reflect the position of my employer On Thu, Nov 29, 2012 at 6:56 PM, Ameya Bondre <ameyabondre.jhsph@gmail.com> wrote: > Hello, > > I have a survey design and I wanted to know how I can explain the > variability in the data by logistic regressions, since my response and > predictor variables are all binary, and because the log likelihood and > pseudo R2 are not provided after using svy:logit y x1 x2... > > Is there any other way of getting an equivalent for R2 in such a > situation? I am concerned if the Odds Ratios and confidence intervals > in the logistic regressions would have any meaning without an R2 or > its equivalent. The data has been obtained through stratified > one-stage cluster sampling. > > Thank you, > Ameya > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/faqs/resources/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/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/