Life Sciences Downloads

• User-contributed libraries
• Semiparametric Regression by David Ruppert, Matt Wand and Ray Carroll
• Xpose by Niclas Jonsson (S-PLUS population PK/PD model building aid for NONMEM)
• Smart Prediction by Thomas Yee and Trevor Hastie
• S-PLUS Bootstrap Functions by Angelo Canty (S-PLUS functions to accompany the Davison & Hinkley book Bootstrap Methods and Their Application)
• S-PLUS Functions for Epidemiologic Analyses by Norman Breslow and colleagues
• Brian Ripley's Home Page
• Frank Harrell's home page
• University of Manchester S-PLUS Home Page
• Statlib
• S-PLUS Frequently Asked Questions
• S-PLUS resources and texts
• S Poetry by Patrick J. Burns (1998); a free 439 page book on more advanced S-PLUS programming in PDF format. A 38-page glossary of S-PLUS and statistical terms is also available, as other links to other sites.
• S-PLUS trellis graphics
• Recursive Partitioning for S-PLUS 6 by Elizabeth Atkinson and Terry Therneau [zipped file]
  • Zipped Postscript Documentation
  • Technical report in PDF format
  • Mini technical report in PDF format
• Multiple Imputation FAQ by Joseph Schafer at Penn State. Joe was a key contributor to the S-PLUS missing library.
• Multiple Imputation S-PLUS Functions by Stef van Buuren and Karin Oudshoor
• Regression Modeling Strategies by Frank Harrell

Case Studies & Press

• Automated Analysis and Reporting of Clinical Studies [pdf]
  Clinical Electronics, Aug/Sept 2004 Edition

Books

• The Elements of Statistical Learning
  Trevor Hastie, Robert Tibshirani, and Jerome Friedman
• S-PLUS Manuals
• An introduction to S-PLUS and the Hmisc and Design libraries
  C.F. Alzola and F.E. Harrell
• Regression Modeling Strategies with Applications to Linear Models, Logistic Regression, and Survival Analysis
  F.E. Harrell
• Modeling Survival Data
  Terry M Therneau and Patricia M Grambsch

Key User and Library Websites

• StatLib
• Harrell Uva: S-PLUS and R Libraries, Functions, and Documentation
• The Mayo Clinic
• Brian Ripley's Home Page
• Catreg Software for Categorical Regression Analysis
• The Xpose Home Page