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st: RE: Re: RE: Re: RE: RE: R2 stats using statsby or parmby???


From   "Hugh Robinson" <hugh.robinson@umontana.edu>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: Re: RE: Re: RE: RE: R2 stats using statsby or parmby???
Date   Sun, 28 Jun 2009 11:19:22 -0600

Sorry.  I was trying to fit escal in with the other estimates.
Thanks for your help.

-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Martin Weiss
Sent: Sunday, June 28, 2009 3:24 AM
To: statalist@hsphsun2.harvard.edu
Subject: st: Re: RE: Re: RE: RE: R2 stats using statsby or parmby???

<>

Well, Roger gave you a recipe, but you did not follow it closely. You
have 
to transfer the result left behind by -logit- to -parmby- yourself, as
in 
this code:

***
use http://www.ats.ucla.edu/stat/stata/dae/logit.dta, clear
global tflist ""
global modseq=0
foreach X in gre topnotch gpa {
global modseq=$modseq+1
tempfile tf$modseq
parmby "logit admit `X'", label  ///
command format(estimate min95 max95 ///
%8.2f p %8.1e) idn($modseq)  ///
saving(`tf$modseq',replace) ///
flist(tflist) escal(r2_p)  ///
rename(es_1 r2_p)
}
dsconcat $tflist
sort idnum parmseq
describe
bys idnum command:list parm ///
 label estimate min95  ///
max95 p r2_p,noobs
***


HTH
Martin
_______________________
----- Original Message ----- 
From: "Hugh Robinson" <hugh.robinson@umontana.edu>
To: <statalist@hsphsun2.harvard.edu>
Sent: Sunday, June 28, 2009 12:38 AM
Subject: st: RE: Re: RE: RE: R2 stats using statsby or parmby???


> Thanks Martin - you've got me moving forward again.
>
> You wouldn't happen to know how to get the model pseudo r-square
> displayed would you?  In Roger's post below he suggests that parmby
> calculates and stores it as r2_p, but I don't see it.
>
>
>
> -----Original Message-----
> From: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Martin
Weiss
> Sent: Saturday, June 27, 2009 3:44 PM
> To: statalist@hsphsun2.harvard.edu
> Subject: st: Re: RE: RE: R2 stats using statsby or parmby???
>
> <>
>
> Not sure whether that blank after -flist-- hurt you, but you should
use
> line
> continuation  "///". Also note that -by- likes to be passed a dataset
> sorted
> by its -varlist-, so append an "s" to make it "bysort"...
>
> ***
> use http://www.ats.ucla.edu/stat/stata/dae/logit.dta, clear
> global tflist ""
> global modseq=0
> foreach X in gre topnotch gpa {
> global modseq=$modseq+1
> tempfile tf$modseq
> parmby "logit admit `X'", label  ///
> command format(estimate min95 max95 ///
> %8.2f p %8.1e) idn($modseq)  ///
> saving(`tf$modseq',replace) ///
> flist(tflist)
> }
> dsconcat $tflist
> sort idnum parmseq
> describe
> bys idnum command:list parm ///
> label estimate min95 max95 p,noobs
> ***
>
>
> HTH
> Martin
> _______________________
> ----- Original Message ----- 
> From: "Hugh Robinson" <hugh.robinson@umontana.edu>
> To: <statalist@hsphsun2.harvard.edu>
> Sent: Saturday, June 27, 2009 11:10 PM
> Subject: st: RE: RE: R2 stats using statsby or parmby???
>
>
>> Roger,
>>
>> I was intrigued by reading your response to this posting, I think the
>> foreach and parmby commands could be very helpful for me in running a
>> number of univariat logits and producing a single table containing
> each
>> variable name, its coefficient, p-value, and r-square value.
>>
>> Towards that goal I thought I would start with the UCLA sample logit
>> data and try to modify the command list from the parmby help file to
>> create something looks like what I'm after.
>>
>> When I run the following code the foreach loop only gets as far the
>> first covariate "gre" then produces an error that reads "variable
> tflist
>> not found".
>>
>> Can you see what's wrong?
>>
>>
>> Thanks
>> HR
>>
>>
>> use http://www.ats.ucla.edu/stat/stata/dae/logit.dta, clear
>> global tflist ""
>> global modseq=0
>> foreach X in gre topnotch gpa {
>> global modseq=$modseq+1
>> tempfile tf$modseq
>> parmby "logit admit `X'", label command format(estimate min95 max95
>> %8.2f p %8.1e) idn($modseq) saving(`tf$modseq',replace)
>> flist (tflist)
>> }
>> dsconcat $tflist
>> sort idnum parmseq
>> describe
>> by idnum command:list parm label estimate min95 max95 p,noobs
>>
>>
>>
>>
>> -----Original Message-----
>> From: owner-statalist@hsphsun2.harvard.edu
>> [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Newson,
> Roger
>> B
>> Sent: Friday, June 26, 2009 1:07 PM
>> To: 'statalist@hsphsun2.harvard.edu'
>> Subject: st: RE: R2 stats using statsby or parmby???
>>
>> You do not specify what goodness-of-fit statistic you want, or which
>> program you are using to do your logistic regression (O prefer -glm-,
>> but many other people prefer -logit- or -logistic-). However, if the
>> goodness-of-fit statistic is saved in e(), then either -statsby- or
>> -parmby- can save it. In the case of -parmby-, you use the -escal()-
>> option to save extra scalar results. As in
>>
>> parmby "glm y x, link(logit) family(bin) eform robust", eform
> norestore
>> by(group) escal(aic bic chi2 dispers_p)
>>
>> which should save -e(aic)-, -e(bic)-, -e(chi2)- and -e(dispers_p)- in
>> scalar variables named -es_1-, -es_2-, -es_3-, and -es_4-,
> respectively.
>> You can give them more informative names using the -rename()- option.
>> Similarly, the -logit- and -logistic- commands save the
> pseudo-R-squared
>> in -e(r2_p)-.
>>
>> I hope this helps.
>>
>> Best wishes
>>
>> Roger
>>
>>
>> Roger B Newson BSc MSc DPhil
>> Lecturer in Medical Statistics
>> Respiratory Epidemiology and Public Health Group
>> National Heart and Lung Institute
>> Imperial College London
>> Royal Brompton Campus
>> Room 33, Emmanuel Kaye Building
>> 1B Manresa Road
>> London SW3 6LR
>> UNITED KINGDOM
>> Tel: +44 (0)20 7352 8121 ext 3381
>> Fax: +44 (0)20 7351 8322
>> Email: r.newson@imperial.ac.uk
>> Web page: http://www.imperial.ac.uk/nhli/r.newson/
>> Departmental Web page:
>>
>
http://www1.imperial.ac.uk/medicine/about/divisions/nhli/respiration/pop
>> genetics/reph/
>>
>> Opinions expressed are those of the author, not of the institution.
>>
>> -----Original Message-----
>> From: owner-statalist@hsphsun2.harvard.edu
>> [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Thomas M
>> Holbrook
>> Sent: 26 June 2009 18:09
>> To: statalist@hsphsun2.harvard.edu
>> Subject: st: R2 stats using statsby or parmby???
>>
>> I'm trying to find a way the generate goodness-of-fit stats for logit
>> models run separately over subgroups of my my data (I'm running a
vote
>> model using individual-level data and I want to generate fit stats by
>> day of the campaign).  I can get the slopes and standard errors using
>> "statsby" or "parmby" but I don't set a way of generating the fit
> stats.
>> Any ideas???
>>
>> -Tom
>>
>> Thomas M. Holbrook
>>
>> Wilder Crane Professor of Government
>> Department of Political Science
>> University of Wisconsin-Milwaukee
>> 3210 North Maryland Avenue
>> Milwaukee, WI  53211
>>
>> www.uwm.edu/~holbroot
>> www.election08data.blogspot.com
>>
>> 414-229-6468
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