[R] clustering and stratification

[Frank E Harrell Jr]

On Wed, 05 Feb 2003 13:50:06 -0800
Jason Bond <jbond at arg.org> wrote:

> Hello,
> 
>    Does R have any capabilities (or are there any add on packages) which 
> can do estimation of standard statistical models (means, regression, 
> logistic regression, etc) which take into account not only weights (e.g. 
> post-stratification weights) but also the sample design, such as 
> stratification and clustering information (to compute a robust taylor 
> linearized variance estimator, for example)?  Thanks much for any input,
> 
>    Jason
> 
> _______________________________
> 
> Jason C. Bond, Ph.D.
> Biostatistician, Associate Scientist
> Public Health Institute
> Alcohol Research Group
> 2000 Hearst Avenue
> Berkeley, CA  94709
> 
> Telephone: 	(510) 642-7965
> Fax:		(510) 642-7175
> 
>

For ols, logistic, accelerated failure time, and Cox models you can do cluster adjustments using either the robcov (Huber-White-Efron methods) or bootcov (cluster bootstrap) functions in the Design library.  See http://hesweb1.med.virginia.edu/biostat/s/Design.html

Doing this as the same time as using weights may not be supported by the functions.
-- 
Frank E Harrell Jr              Prof. of Biostatistics & Statistics
Div. of Biostatistics & Epidem. Dept. of Health Evaluation Sciences
U. Virginia School of Medicine  http://hesweb1.med.virginia.edu/biostat