Dear Spencer and Noori,
The original posting referred to multilevel modeling, for which glm, which
assumes independent observations, is likely not appropriate. Generalized
linear mixed models are discussed, e.g., in Sec. 10.4 of the fourth edition
of Venables and Ripley's Modern Applied Statistics with S. The latest
version of the MASS library also includes a function, glmmPQL for fitting
these models.
I hope that this helps,
John
At 10:06 AM 2/28/2003 -0800, Spencer Graves wrote:
Have you considered "glm"?
Spencer Graves
Noori Akhtar-Danesh wrote:
Hi all,
Perhaps a simple question for you but very important for me! Can someone
kindly tell me how to do binomial multilevel modeling in S-Plus2000. I
am only aware of lme and nlme routines. However, I can not define family
argument in these routines. My question may be asked in another
way! How can I run conditional logistic regression in S-Plus? It is
related to a case-control study with binary outcome when each case was
matched with two controls.
Thank you for your help in advance,
Noori
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John Fox
Department of Sociology
McMaster University
Hamilton, Ontario, Canada L8S 4M4
email: jfox@mcmaster.ca
phone: 905-525-9140x23604
web: www.socsci.mcmaster.ca/jfox
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