Re: R-beta: Logistic regression....

David Clayton (david.clayton@mrc-bsu.cam.ac.uk)
Wed, 10 Dec 1997 11:58:56 +0000


Message-Id: <199712101158.LAA26486@bernstein.mrc-bsu.cam.ac.uk>
To: bensmail@rulfsw.fsw.LeidenUniv.nl, r-help@stat.math.ethz.ch
Subject: Re: R-beta: Logistic regression.... 
Date: Wed, 10 Dec 1997 11:58:56 +0000
From: David Clayton <david.clayton@mrc-bsu.cam.ac.uk>

Halima

I don't know of an R or S program for polytomous logistic regression, but 
this model can be fitted using the GEE function. Indeed a rather more flexible 
family of models may be fitted this way. The method is not maximum likelihood
but behaves very well in practice. For full details see 

http://www.mrc-bsu.cam.ac.uk/pub/publications/submitted/david_clayton/ordcat2.p
s

(a paper which was accepted many years ago subject to minor revision and never 
revised owing to extreme laziness).


David Clayton

MRC Biostatistics Unit
Institute of Public Health
University Forvie Site
Robinson Way
Cambridge CB2 2SR

Telephone: (0) 1223 330375
Fax:       (0) 1223 330388

e-mail: david.clayton@mrc-bsu.cam.ac.uk



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