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RE: st: multinomial multilevel analysis in Stata


From   Cameron McIntosh <cnm100@hotmail.com>
To   STATA LIST <statalist@hsphsun2.harvard.edu>
Subject   RE: st: multinomial multilevel analysis in Stata
Date   Fri, 14 Oct 2011 01:21:45 -0400

Rosie,

 

You should also see: 

Kuss, O., & McLerran, D. (2007). A note on the estimation of the multinomial logistic model with correlated responses in SAS. Computer Methods and Programs in Biomedicine, 87(3), 262-269. 

 


Malchow-Møller, N., & Svarer, M. (2003). Estimation of the multinomial logit model with random effects. Applied Economics Letters, 10(7), 389-392.

 


Hedecker, D. (2003). A mixed-effects multinomial logistic regression model. Statistics in Medicine, 22(9), 1433–1446.

 


Hartzel, J., Agresti, A., & Caffo, B. (2001). Multinomial logit random effects models. Statistical Modelling, 1(2), 81-102.

 


Skrondal, A., & Rabe-Hesketh, S. (2003). Multilevel logistic regression for polytomous data and rankings. Psychometrika, 68, 267-287.

 


Chen, Z., & Kuo, L. (2000). A Note on the Estimation of the Multinomial Logit Model With Random Effects. The American Statistician, 55, 89-95.

 


Wang, S., & Tsodikov, A. (2010). A Self-consistency Approach to Multinomial Logit Model with Random Effects. Journal of Statistical Planning and Inference, 140(7), 1939-1947.

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2851106/pdf/nihms-191118.pdf

 

Hope this helps,

 

Cam

 

----------------------------------------


 

> Date: Thu, 13 Oct 2011 21:00:45 -0700
> Subject: Re: st: multinomial multilevel analysis in Stata
> From: hindstata@gmail.com
> To: statalist@hsphsun2.harvard.edu
>
> Hi Rosie
>
> I would recommend looking GLLAMM because of the breadth of modeling
> you can do within this modeling framework - most of the information
> you need is provided here
> http://www.bepress.com/ucbbiostat/paper160/
>
> Hope this helps
> Hind
>
> On Thu, Oct 13, 2011 at 8:30 PM, Rosie Chen <jiarongchen2002@yahoo.com> wrote:
> > Hello, I am not familiar with multilevel analysis using Stata, especially when the outcome is a categorical variable. Could someone give me advice and/or provide resources that can allow me to have a quick start of such analysis? Thank you very much!
> >
> >
> > Rosie
> >
> > *
> > * 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/ 		 	   		  
*
*   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/


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