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Re: st: pseudo R square after svy logistic regression


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
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