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st: Thanks Martin and Aysegul


From   khan ali <economichust@yahoo.com>
To   statalist@hsphsun2.harvard.edu
Subject   st: Thanks Martin and Aysegul
Date   Sun, 26 Aug 2007 21:45:40 -0700 (PDT)

Thanks dear Martin and Aysegul for your usefull
comments and suggestions.These are very helpful to get
out of the problem and to work in right direction.
Khan,ALI
--- Aysegul Aydin <Aysegul.Aydin@Colorado.EDU> wrote:

> Excellent. Thanks a lot Maarten; I will check it
> out.
> 
> ---
> 
> Aysegul Aydin
> Assistant Professor 
> University of Colorado
> Department of Political Science
> 
> 
> -----Original Message-----
> From: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] On
> Behalf Of Maarten buis
> Sent: Sunday, August 26, 2007 11:23 AM
> To: statalist@hsphsun2.harvard.edu
> Subject: Re: st: RE: Comparison in survival analysis
> 
> This is probably not the answer you are looking for,
> but here goes:
> Once you have the likelihood you can easily program
> it yourself using
> -ml-. You will want to have a copy of "Maximum
> Likelihood Estimation
> with Stata" http://www.stata-press.com/books/ml.html
> . This book
> actually discusses programming a weibull, so that
> will probably provide
> a convenient starting point for your program.
> 
> Hope this helps,
> Maarten
> 
> --- Aysegul Aydin <Aysegul.Aydin@Colorado.EDU>
> wrote:
> > I was asking POLMETH a few weeks ago about a
> user-written or canned
> > Stata method to estimate generalized weibull
> though without much 
> > luck. Christopher Zorn also adopted the same
> method in his 2000
> > Political Analysis article "Modeling Duration
> Dependence". This is a
> > method I believe that allows the user to model the
> shape parameter
> > with covariates. However, Zorn was using LIMDEP,
> so I am not sure
> > whether this is doable in Stata. But if any of our
> colleagues have an
> > idea about how to do this, I will also greatly
> appreciate their
> > feedback. 
> 
> 
> -----------------------------------------
> Maarten L. Buis
> Department of Social Research Methodology
> Vrije Universiteit Amsterdam
> Boelelaan 1081
> 1081 HV Amsterdam
> The Netherlands
> 
> visiting address:
> Buitenveldertselaan 3 (Metropolitan), room Z434
> 
> +31 20 5986715
> 
> http://home.fsw.vu.nl/m.buis/
> -----------------------------------------
> 
> 
>      
>
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