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Re: st: discriminatory power of a probit model


From   nicola.baldini2@unibo.it
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: discriminatory power of a probit model
Date   Wed, 05 Mar 2008 19:31:09 +0100

To show the improvement of the fit with some star for the significance I usually use the delta R-squared or the minus 2 times the log likelihood
Nicola

At 02.33 03/03/2008 -0500, "Martin Weiss" wrote:
>Dear Statalisters,
>
>try this in Stata:
>
>*********
>sysuse auto, clear
>probit foreign weight, nolog
>estat clas
>probit foreign weight mpg, nolog
>estat clas
>*********
>
>Then tell me: can I prefer one specification of covariates in a probit model
>over the other on the basis of the correctly classified cases as provided at
>the bottom of the classification table? If so, is there a confidence
>interval that would let me judge whether the difference between two models
>is significant? And what is the difference to 
>
>a) the area under the ROC curve, as provided by the -lroc- command ( and
>where I do know that you can test two models against each other based on the
>- -roccomp- command)
>
>b) the gofs provided by the -estat gof- command?
>
>We recently heard a presentation at our workshop where someone argued in
>this vein, and all I could come with was this lousy "I have a bad feeling
>about this". 
>
>
>Thanxx,
>Martin Weiss 

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