[R] Regression Modeling Strategies

[fharrell@virginia.edu]

I am pleased (and relieved) to announce the publication of
Regression Modeling Strategies, With Applications to Linear
Models, Logistic Regression, and Survival Analysis
(Springer, June 2001).

This book covers a wide variety of modeling tools including
regression splines, multiple imputation, data reduction,
shrinkage, overfitting, bootstrap model validation, and 
graphical presentation of models.  It emphasizes problems
caused by stepwise variable selection and model uncertainty,
and focuses on flexible strategies that preserve 
statistical properties to do what could be called 
"safe data mining."  Comprehensive case studies based on
S-Plus are presented and software for S-Plus is freely
available on many platforms.  Very soon the software
will be available for the open source R system.

More information may be obtained from
http://hesweb1.med.virginia.edu/biostat/rms
-- 
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
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