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st: Re: RE: RE: RE: proportion as a dependent variable


From   "Giorgio" <giorgio.fazio@strath.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: Re: RE: RE: RE: proportion as a dependent variable
Date   Mon, 14 Jul 2003 18:07:21 +0200

Hi,

Sorry for the intrusion...How about an inverse logit transform? Would this
solve the problem?

Cheers,

Giorgio

----- Original Message ----- 
From: "Nick Cox" <n.j.cox@durham.ac.uk>
To: <statalist@hsphsun2.harvard.edu>
Sent: Monday, July 14, 2003 5:56 PM
Subject: st: RE: RE: RE: proportion as a dependent variable


> Joao Pedro W. de Azevedo
> >
> > I've seen papers in which the authors used a tobit model
> > censored at 0 and 1
> > to model a proportion.
> > Would this be an acceptable approach?
> >
>
> Without knowing about the data or the underlying science,
> it is difficult to say. But it does not sound like a
> general solution to me.
>
> Nick
> n.j.cox@durham.ac.uk
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