I have never tried this myself. However, if there is a way, then I would
expect it to involve the -suest- module of official Stata, which carries
out Seemingly Unrelated ESTimation. To find out more, type
whelp suest
in Stata. This will point you to manual references, which give formulas
and examples.
I hope this helps.
Roger
Roger Newson
Lecturer in Medical Statistics
Respiratory Epidemiology and Public Health Group
National Heart and Lung Institute
Imperial College London
Royal Brompton campus
Room 33, Emmanuel Kaye Building
1B Manresa Road
London SW3 6LR
UNITED KINGDOM
Tel: +44 (0)20 7352 8121 ext 3381
Fax: +44 (0)20 7351 8322
Email: [email protected]
www.imperial.ac.uk/nhli/r.newson/
Opinions expressed are those of the author, not of the institution.
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Wendy
Regoeczi
Sent: 27 April 2007 16:37
To: [email protected]
Subject: st: testing for significant differences between coefficients in
different models
Hello all,
I couldn't find an answer to this question in the archives. I am
analyzing two models using the same set of independent variables, one
is a logistic regression model and the other is a Cox proportional
hazards model. It has been suggested to me that I should do some
post-hoc tests of the differences between the coefficients in the two
models. Is there a way to do this in Stata, given that two different
types of models are being estimated and the variable names are
identical in both models?
Any help would be greatly appreciated!
Sincerely,
Wendy Regoeczi
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