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Re: st: SAS versus Stata, Panel Study Logit models
On Dec 19, 2007, at 9:52 AM, Richard Williams wrote:
A student of mine has used SAS to estimate various panel study
logistic regressions. I can perfectly replicate her regular
logistic regression results using -logit-, but I am having a few
problems replicating her panel analysis. A couple of Qs (which may
or may not be answerable if you don't also know SAS):
* She uses "Alternating Logistic Regression" for part of the
analysis. Is that possible in Stata (perhaps it goes by a different
name)?
* She also uses GEE with unstructured correlations. I come very
close but not quite to replicating her results with -xtgee- and with
-xtlogit-. Is it reasonable to think that differences in algorithms
might produce small differences in results? Or is SAS perhaps using
some kind of different defaults or methods than Stata uses? And if
so could I specify the necessary changes in Stata, e.g. change the
tolerances or the maximization technique? I'm guessing the
differences are just due to algorithms but it is always possible
there is something more than that.
There is a Stata FAQ on the differences in implementations of GEE in
Stata versus other programs,
http://www.stata.com/support/faqs/stat/gee.html
and here,
http://www.stata.com/support/faqs/stat/xtgeesas.html
By coincidence, I just read them yesterday.
-Dave
Specifically, I give commands like
xtlogit drug age white black hispanic male modal2 severity time
gentime modtime sevtime, corr(uns) pa
xtgee drug age white black hispanic male modal2 severity time
gentime modtime sevtime, corr(uns) fam(binom) link(logit)
Here is some of her SAS code, which is for a slightly different
model but I believe similar code was used for the final models:
PROC GENMOD data=Drug descending;
CLASS id2 time2 race modal;
MODEL drug= modal severity time modal*time severity*time/
dist=binomial
link=logit;
REPEATED subject=id2 / withinsubject=time2 type=un covb corrw
modelse;
RUN;
I hate it when students know more than I do. :) Thanks for any help.
-------------------------------------------
Richard Williams, Notre Dame Dept of Sociology
OFFICE: (574)631-6668, (574)631-6463
HOME: (574)289-5227
EMAIL: [email protected]
WWW: http://www.nd.edu/~rwilliam
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