Hi Nick
Thank you for your information. I already tried them. But I failed to find any information
about variable types for loneway. Does STATA set it as a default that LONEWAY could
be used for all kinds of variables?
Lijun
On 1 Dec 2006 at 21:27, Nick Cox wrote:
> If you ask Stata itself what is available, you will see other possibilities.
>
> . search variance components
>
> Keyword search
>
> Keywords: variance components
> Search: (1) Official help files, FAQs, Examples, SJs, and STBs
>
> Search of official help files, FAQs, Examples, SJs, and STBs
>
>
> [R] loneway . . . . . Large one-way ANOVA, random effects, and reliability
> (help loneway)
>
> [R] regress postestimation . . . . . . . Postestimation tools for regress
> (help regress postestimation)
>
> Example . . . . . . . . . . . . . . . Stata web books: Regression with Stata
> . . Chen, Ender, Mitchell & Wells (UCLA Academic Technology Services)
> 7/06 web book Regression with Stata by (in alphabetical
> order) Xiao Chen, Philip B. Ender, Michael Mitchell
> & Christine Wells
> http://www.ats.ucla.edu/stat/stata/webbooks/reg/
>
> SJ-6-1 st0095 . . . . . . . . . . . Estimating variance components in Stata
> . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y. Marchenko
> Q1/06 SJ 6(1):1--21 (no commands)
> describes using xtmixed to estimate variance components
> in linear models
>
> SJ-6-1 gn0031 . . Review of Multilevel and Longitudinal Modeling Using Stata
> . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . R. Wolfe
> Q1/06 SJ 6(1):138--143 (no commands)
> book review of Multilevel and Longitudinal Modeling
> Using Stata by Rabe-Hesketh and Skrondal
>
> SJ-4-4 st0077 . . CIs for the variance comp. of random-effects linear models
> (help xtvc if installed) . . . . . . . . . . M. Bottai and N. Orsini
> Q4/04 SJ 4(4):429--435
> confidence intervals for the variance components of
> random-effects linear regression models.
>
> STB-60 sg160 . . . . . . . . . . . . On boundary-value likelihood-ratio tests
> . . . . . . . . . . . . R. G. Gutierrez, S. Carter, and D. M. Drukker
> 3/01 pp.15--18; STB Reprints Vol 10, pp.269--273 (no commands)
> discusses likelihood-ratio boundary tests (such as tests for
> the presence of overdispersion or random effects) which are
> based on a mixture of a point mass at zero and a chi-squared
> distribution
>
> Nick
> [email protected]
>
> Lijun Song
>
> > I am running variance component models using both loneway and xtreg.
> >
> > Could we use both of them to deal with all kinds of variables
> > including continuous, categorical and discrete dependent variables?
> >
> > I have this question because when we run random
> > intercept/slope models, we can only use xtreg to analyze
> > Continuous outcomes but use gllamm to analyze categorial or
> > discrete variables, right?
>
> *
> * For searches and help try:
> * http://www.stata.com/support/faqs/res/findit.html
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
------------------------------------------------------------------------------------------
Lijun Song
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
