Re: st: How to fit multilevel models using stata

[Christian Ganser <christian.ganser@soziologie.uni-muenchen.de>]

I think both the -xtlogit- command and gllamm (type ssc describe gllamm) 
will be of interest for you. Take a look at the online-help (help xt) 
and the XT-Book of the printed manual to learn about how to use the 
xt-commands. The gllamm-manual, which is available at www.gllamm.org, 
will also be very helpful. Furthermore, I find these books worth 
reading: Rabe-Hesket, Sophia/Skrondal, Anders (2005): Multilevel and 
Longitudinal Modeling Using Stata, Stata Press (which also treats 
gllamm) and Snijders, Tom A.B./Bosker, Roel J. (1999): Multilevel 
Analysis, London: Sage (which gives a more general overview on the topic 
of multilevel analysis).

Hope this helps.
Christian

sharad sharma wrote:

> Hello,
>
> I am a Ph.D. student and new stata user. I want to use
> multilevel analysis with a cross-sectional data (women
> nested within village). My objective is to examine
> neighborhood influence on self reported obstetric
> morbidity. The explanatory variables are divided in to
> five groups,
>
> - Neighborhood socio-economic indicators
> - Neighborhood health infrastructure
> - Individual background characteristics
> - Preventive health care practice and
> - Medical risk factors
>
> The outcome variable is dichotomous (self reported
> obstetric morbidity)
>
> How can I fit the random intercept and random slope
> models using stata (I am using stata 9)? And how to
> interpret the result especially the random effect and
> variance components?
>
> May I request for help?
>
> Sincerely
>
>
> Sharad Kumar Sharma
> Institute for Population and Social Research
> Mahidol University, Thailand
>
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