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Re: st: exact logistic regression
From
SR Millis <[email protected]>
To
[email protected]
Subject
Re: st: exact logistic regression
Date
Mon, 21 Jun 2010 13:39:57 -0700 (PDT)
Why do you want to perform exact logistic regression with this particular (and large) data set?
Scott Millis
--- On Mon, 6/21/10, Michael N. Mitchell <[email protected]> wrote:
> From: Michael N. Mitchell <[email protected]>
> Subject: Re: st: exact logistic regression
> To: [email protected]
> Date: Monday, June 21, 2010, 4:29 PM
> Dear Nick
>
> I created an example based on the -auto-
> dataset like this...
>
> clear all
> sysuse auto
> replace rep78 = rep78 - 1 if rep78 !=1
> tab rep78
> expand 28
> keep in 1/2061
> xi: exlogistic foreign i.rep78 , memory(1400m)
>
> and I was not able to complete this
> either, getting the message
>
> observation 415: enumerations = 9333408
> observation 416: enumerations = 9470664
> the operating system refuses to provide the requested
> memory
> r(909);
>
> Do you have a very small or empty cell
> when you crosstabulate -a- by -b-? Perhaps you
> could share the crosstab of -a- and -b- with us to
> illustrate the need for exact logistic
> regression?
>
> Best regards,
>
> Michael N. Mitchell
> Data Management Using Stata - http://www.stata.com/bookstore/dmus.html
> A Visual Guide to Stata Graphics - http://www.stata.com/bookstore/vgsg.html
> Stata tidbit of the week
> - http://www.MichaelNormanMitchell.com
>
>
>
> On 2010-06-21 12.29 PM, Nikolaos Pandis wrote:
> > Hi to all.
> >
> > 1. I try to run in Stata 11 IC:
> >
> > xi:exlogistic a i.b
> > a= binary (0,1)
> > b=4 level categorical (0-3)
> > 2061 observations
> >
> > I get the following error message:
> > exceeded memory limit of 10.0M bytes; use the memory()
> option to increase the memory limit
> > error(499)
> >
> > I use set memory to values larger than 10m and still
> get the same message.
> >
> > exceeded memory limit of 10.0M bytes; use the memory()
> option to increase the memory limit
> > error(499)
> >
> > 2. I was wondering if it is possible to run
> multinomial logistic regression using exact methods.
> >
> >
> > Any comments would be appreciated.
> >
> > Many thanks,
> > Nick
> >
> >
> >
> > *
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*
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