On Wed, 05 Feb 2003 13:50:06 -0800 Jason Bond <[EMAIL PROTECTED]> 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 ______________________________________________ [EMAIL PROTECTED] mailing list http://www.stat.math.ethz.ch/mailman/listinfo/r-help
