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From |
"JVerkuilen (Gmail)" <jvverkuilen@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Beta's and xtmixed |

Date |
Mon, 22 Oct 2012 10:31:43 -0400 |

On Mon, Oct 22, 2012 at 5:56 AM, Filip Van Droogenbroeck <filip.van.droogenbroeck@vub.ac.be> wrote: > Hello, everybody, > > I'm trying to get beta's for the -xtmixed- multilevel regression > command. There is no beta option for the xtmixed command. Anybody knows if there is a good reason for this? By using esttab I can get beta's after xtmixed. Can these beta's be trusted after the xtmixed command? Or are they only correct when doing normal linear regression? Standardized regression coefficients, which is what I assume you want, don't really mean the same thing in a mixed logit model as in linear regression, because while the variance of the x variables is meaningful, the variance of the linear predictor is set by choice of the logit link to pi^2/3. You really can't compare them across models readily. Usually you want to use standardized regression coefficients across models, so this is a problem. See Bauer, D.J. (2009). A note on comparing the estimates of models for cluster-correlated or longitudinal data with binary or ordinal outcomes. Psychometrika, 74, 97-105. http://www.unc.edu/~dbauer/manuscripts/Bauer_2009.pdf Chances are good you can get what you want with predicted probabilities computed on relevant scenarios, though that's not always true. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Beta's and xtmixed***From:*Richard Goldstein <richgold@ix.netcom.com>

**References**:**st: Beta's and xtmixed***From:*Filip Van Droogenbroeck <filip.van.droogenbroeck@vub.ac.be>

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