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Re: st: Re: Calculate beta values for mim results


From   Maarten buis <maartenbuis@yahoo.co.uk>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Re: Calculate beta values for mim results
Date   Mon, 4 May 2009 09:12:14 +0000 (GMT)

Looks ok, one way to test this is that the constant should be very
very small (actually 0, but usually in the order of 1E-16.

Hope this helps,
Maarten

-----------------------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany

http://home.fsw.vu.nl/m.buis/
-----------------------------------------


--- On Sun, 3/5/09, Frank Gallo <fjgallo@mac.com> wrote:

> From: Frank Gallo <fjgallo@mac.com>
> Subject: Re: st: Re: Calculate beta values for mim results
> To: statalist@hsphsun2.harvard.edu
> Date: Sunday, 3 May, 2009, 11:40 PM
> <>
> <>
> 
> Hi Maarten,
> 
> I just wanted to check-in with you on my below message,
> which might have been lost in the shuffle of trying to
> correct my posting dilemma. Did I carryout the below syntax
> correctly based on your suggestion? Thank you.
> 
> Best,
> Frank
> 
> 
> On May 2, 2009, at 10:04 AM, fjgallo@mac.com wrote:
> 
> Hi Maarten,
> 
> First, I opened the data file in which I saved the stacked
> imputed data sets: m(5), each set n = 3,300. Next, I ran the
> below syntax (for my below example, I only included a few
> predictor variables and the criterion variable pforce). I
> obtained coefficients for the run. Did I do this correctly?
> Please remember that I am a Stata beginner. Thank you.
> 
> Best Frank
> 
> ----------------------------------------------------------
> mim, storebv: regress pforce assign time day
> 
> foreach var of varlist pforce assign time day {
> gen double z`var' =.
> }
> 
> forvalues i = 1/5 {
> foreach var of varlist pforce assign time day {
> sum `var' if _mj ==`i'
> replace z `var' = (`var' - r(mean)) / r(sd) if _mj
> == `i'
> }
> }
> 
> mim: regress zpforce zassign ztime zday
> 
> -------------------------------------------------------------
> 
> 
> 
> 
> 
> On May 1, 2009, at 12:04 PM, Maarten buis wrote:
> 
> 
> This is one way of getting standardized coefficients after
> multiple imputation:
> 
> *------------------- begin example
> ----------------------------
> sysuse auto, clear
> ice rep78 price mpg, m(5) clear
> 
> foreach var of varlist rep78 price mpg {
> 	gen double z`var' = .
> }
> 
> forvalues i = 1/5 {
> 	foreach var of varlist rep78 price mpg {
> 		sum `var' if _mj == `i'
> 		replace z`var' = (`var' - r(mean)) / r(sd) if _mj
> == `i'
> 	}
> }
> 
> mim : reg zprice zrep78 zmpg
> *--------------------- end example
> ---------------------------------
> 
> Hope this helps,
> Maarten
> 
> -----------------------------------------
> Maarten L. Buis
> Institut fuer Soziologie
> Universitaet Tuebingen
> Wilhelmstrasse 36
> 72074 Tuebingen
> Germany
> 
> http://home.fsw.vu.nl/m.buis/
> -----------------------------------------
> 
> 
> --- On Fri, 1/5/09, fjgallo@mac.com <fjgallo@mac.com>
> wrote:
> 
> > From: fjgallo@mac.com <fjgallo@mac.com>
> > Subject: Re: st: Re: Calculate beta values for mim
> results
> > To: statalist@hsphsun2.harvard.edu
> > Date: Friday, 1 May, 2009, 4:16 PM
> > Thank you. Your thoughts were helpful, and I also hope
> that
> > an experienced person with the -mim- command might
> offer
> > some insight.
> > 
> > Best,
> > Frank
> > 
> > On May 1, 2009, at 11:01 AM, Martin Weiss wrote:
> > 
> > <>
> > 
> > You can find a general recipe for recovering the beta
> > coefficients here:
> >
> http://www.stata.com/statalist/archive/2009-03/msg00154.html
> > 
> > As I have never used -mim-,  I am highly reluctant to
> > endorse any calculation in connection with it. AFAIK,
> P.
> > Royston, its author, does not post to the list
> regularly, so
> > he is unlikely to comment, either. But there are
> probably
> > more experienced listers who can step in...
> > 
> > Note that my  -mata- code was way too complicated as
> you
> > have now revealed that you are a beginner. Sorry about
> > that...
> > 
> > HTH
> > Martin
> > _______________________
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> 
> 
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