Re: st: Multivariate Multiple Logistic Regression

[John Antonakis <John.Antonakis@unil.ch>]

> Hi:
>
> Take a look at - suest - .
>
> HTH,
> John.
>
> ____________________________________________________
>
> Prof. John Antonakis
> Associate Dean 
> Faculty of Business and Economics
> University of Lausanne
> Internef #618
> CH-1015 Lausanne-Dorigny
> Switzerland
>
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> ____________________________________________________
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>
>
> On 26.02.2009 18:12, Geneviève Michelle Tindall wrote:
> > Hello Statalisters!
> >
> > I need to run a regression with multiple dependent variables and possibly
> > multiple independent variables (although I could settle for a single
> > independent variable seeing as this is not extremely necessary for my data
> > analysis).  The issue is that all of my variables, dependent and
> > independent, are binary, and therefore I don't believe that the traditional
> > MANOVA would be appropriate in this situation.  My guess is that I need some
> > sort of multivariate -logit- model that will provide me with the ability to
> > enter multiple binary dependent variables.  It would be great if I could
> > also obtain an output of odds ratios from this type of regression, which is
> > available when using the Stata command for traditional logistic regressions,
> > -logit Y X1 X2 ... Xn, or-.  I have spent quite some time Googling and
> > reading Stata website, and I have not run across a way to do this in my
> > Stata 10.1 program for Windows, nor have I found any examples of this type
> > of regression in papers or other statistical programs.  I did review the
> > listserv archives and it seems as if this question has been posted before
> > (March 22, 2005), but answers varied from the use of -mvprobit-, to a
> > log-linear model with the -poisson- command, to a multinomial logit model
> > using -mlogit-.  Although I first started using Stata several years ago in
> > Econometrics and Public Policy courses, my training with models that have
> > binary outcomes is not extensive.  Any help with my problem or even a more
> > general explanation regarding the suggestions posted in March 2005 would be
> > greatly appreciated!  Thank you for your consideration.
> >
> > All my best,
> > Geneviève 
> >
> > Geneviève Michelle Tindall
> > Research Assistant
> > Duke University  •  Institute for Genome Sciences & Policy
> > 450 Research Drive  •  LSRC, Wing B  •  Room 342C
> > Box 91009  •  Durham, NC 27708
> > 919.681.3499 (tel)  •  919.613.6448 (fax)
> > g.tindall@duke.edu
> > www.genome.duke.edu
> >
> >
> >
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> >   

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