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From |
"Martin Weiss" <Martin.Weiss1@gmx.de> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Standardized Beta and Multiple Imputation in Stata 11 |

Date |
Thu, 31 Dec 2009 20:42:27 +0100 |

<> "I'm not sure what Martin suggests will work." I did not want to add to what Maarten had offered, just to provide background reading for Catherine. HTH Martin -------- Original-Nachricht -------- > Datum: Thu, 31 Dec 2009 11:31:18 -0800 > Von: Alan Acock <acock@mac.com> > An: statalist@hsphsun2.harvard.edu > Betreff: Re: st: Standardized Beta and Multiple Imputation in Stata 11 > I'm not sure what Martin suggests will work. Unless I'm missing > something (fairly likely), what Maarten says is that it is not clear > what mean and variance you would use since each imputed dataset will > have a different mean and variance for each variable. One very tedious > solution would be something like this: > > mi estimate, noisily dftable: regress ln_wagem gradem agem ttl_expm /// > tenurem not_smsa south blackm, beta > > where the noisily gives all the intermediate results and will show the > beta values (and R-square) for each of the m solutions. > > Pooling the betas and the R-squares is not something that Rubin Rules > does. You could simply average them. You could do a log of each before > averaging and then reverse the transformation to deal with the ceiling > effect in the distribution of betas and R-square. I'm not sure there > is a formally justified solution. > > --Alan Acock > > On Dec 31, 2009, at Thu Dec 52:21 , Martin Weiss wrote: > > > <> > > > > > > "The way to get those is to standardize all variables in your model > > prior to estimating the regression command." > > > > Catherine can find technical details in this thread: > http://www.stata.com/statalist/archive/2009-03/msg00115.html > > > > > > HTH > > Martin > > -------- Original-Nachricht -------- > >> Datum: Thu, 31 Dec 2009 10:04:51 +0000 (GMT) > >> Von: Maarten buis <maartenbuis@yahoo.co.uk> > >> An: statalist@hsphsun2.harvard.edu > >> Betreff: Re: st: Standardized Beta and Multiple Imputation in Stata > >> 11 > > > >> --- On Wed, 30/12/09, McDonald, Catherine wrote: > >>> There is an option in the Linear Regression > >>> estimation to check off 'standardized beta coefficients' in > >>> reporting. But when I do this, nothing changes in my > >>> coefficients. I don't see any beta coefficients reported-the > >>> coefficients are the same as if I did not check it off. Can > >>> someone give me advice on this? > >> > >> The reason is probably that the -mi estimate- dialog box > >> "inherrited" that option from the normal -regress- dialog box. > >> I am not that surprised that it doesn't work, because -mi estimate- > >> seems to work with the returned coefficients as stored in e(b), > >> and the -standardize- option does not change that matrix. > >> > >> The way to get those is to standardize all variables in your > >> model prior to estimating the regression command. The question > >> now becomes which mean and standard devation do I use, and I > >> am not sure, though I guess it doesn't matter that much. > >> > >> Hope this helps, > >> Maarten > >> > >> -------------------------- > >> Maarten L. Buis > >> Institut fuer Soziologie > >> Universitaet Tuebingen > >> Wilhelmstrasse 36 > >> 72074 Tuebingen > >> Germany > >> > >> http://www.maartenbuis.nl > >> -------------------------- > >> > >> > >> > >> > >> * > >> * For searches and help try: > >> * http://www.stata.com/help.cgi?search > >> * http://www.stata.com/support/statalist/faq > >> * http://www.ats.ucla.edu/stat/stata/ > > > > -- > > Jetzt kostenlos herunterladen: Internet Explorer 8 und Mozilla > > Firefox 3.5 - > > sicherer, schneller und einfacher! http://portal.gmx.net/de/go/atbrowser > > * > > * For searches and help try: > > * http://www.stata.com/help.cgi?search > > * http://www.stata.com/support/statalist/faq > > * http://www.ats.ucla.edu/stat/stata/ > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ -- GRATIS für alle GMX-Mitglieder: Die maxdome Movie-FLAT! Jetzt freischalten unter http://portal.gmx.net/de/go/maxdome01 * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**Re: st: Standardized Beta and Multiple Imputation in Stata 11***From:*Maarten buis <maartenbuis@yahoo.co.uk>

**Re: st: Standardized Beta and Multiple Imputation in Stata 11***From:*"Martin Weiss" <Martin.Weiss1@gmx.de>

**Re: st: Standardized Beta and Multiple Imputation in Stata 11***From:*Alan Acock <acock@mac.com>

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