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st: AW: MLOGIT versus a set of LOGIT models


From   "Martin Weiss" <martin.weiss1@gmx.de>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: AW: MLOGIT versus a set of LOGIT models
Date   Tue, 18 Aug 2009 18:31:15 +0200

<> 


In the absence of a -version- statement, your code is problematic as it
still uses -xi- which has been superseded in Stata 11. Note the FAQ on this
point. 

I think you will get more/better answers if you frame your question in terms
of the example in the help file... 



HTH
Martin


-----Ursprüngliche Nachricht-----
Von: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von Jon Heron
Gesendet: Dienstag, 18. August 2009 18:14
An: statalist@hsphsun2.harvard.edu
Betreff: st: MLOGIT versus a set of LOGIT models

 Dear all,


 I have always believed that the regression estimates from a multinomial
logistic
 regression model (MLOGIT) could be replicated through a set of simple
 logit models with the appropriately derived binary outcomes.

 Whilst attempting to demonstrate this fact for some teaching material on
 polytomous IRT that i am writing, I moved from my usual categorical
 predictors to a continuous covariate + discovered that the above
equivalence
 did not hold.

 To ensure that this was not a fluke, I have since demonstrated that with
 the two simple models below, each with the same 4-level outcome and 4-level
 predictor, the former can be replicated with logits, but not the latter.

 xi: mlogit ghq1 i.ghq3, baseoutcome(0)
 mlogit ghq1 ghq3, baseoutcome(0)


 please can anyone put me out of my misery?


 cheers,



 Jon
-- 
Dr Jon Heron
ALSPAC Stats Team Leader
Department of Social Medicine
University of Bristol
Oakfield House
Oakfield Grove
Bristol
BS8 2BN


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