You could also write your own ML routine using a beta distribution. Actually
I am surprised that Stata doesn't already have some sort of
"beta-regression" built into it. Actually, I already have a crude version of
such a program if anyone wants it.
al Feiveson
-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu]On Behalf Of Stas Kolenikov
Sent: Thursday, October 07, 2004 2:36 PM
To: statalist@hsphsun2.harvard.edu
Subject: Re: st: A continuous DV between 0 and 1
You would need to use -glm- set of routines with -family(binomial)-.
If you also want all of the residual diagnostic tools provided by the
-regress-, you can back-transform your data by taking inverse logit or
probit links ( ln(y/(1-y)) and invnorm(y), respectively), although I
am not quite sure there is a solid statistical foundation for doing
so.
On Thu, 7 Oct 2004 14:22:41 -0500, Kang, Eugene <ekang@cgsb.tamu.edu> wrote:
> I am using STATA 8 to analyze a model with a ratio DV ranging from 0 to 1.
> The distribution of this DV is somewhat S-shaped. I was wondering if
someone
> could point me to the correct statistical analysis to use (I can read the
> STATA manual and other books from there on). I know that this is a simple
> question, but any assistance would be greatly appreciated! Thanks!
--
Stas Kolenikov
http://stas.kolenikov.name
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/