REGRESSION MODELING STRATEGIES with Applications to Linear Models, Logistic Regression, and Survival Analysis by FE Harrell
  • The book was published June 5 2001 by Springer New York, ISBN 0-387-95232-2 (also available at,, DirectTextBook,, or FetchBook.Info).
  • Click here to see the text from the book's back cover.
  • Click here to see the preface and table of contents for the book manuscript in .pdf format.
  • Click here to obtain a partial index to the book in .pdf format
  • Click here to see a sample chapter from the book ( Note:This material is Copyright 2001-2004 Springer-Verlag and may not be reproduced).
  • Changes and additions planned for the second edition (projected publication {new expectation} is June 2012)
  • Reviews of the book:
    1. Statistical Methods in Biomedical Research
    2. Biometrics 58:477, June 2002
    3. Bulletin of the Swiss Statistical Society 43:11 (to appear also in Statistical Methods in Medical Research)
    4. International Journal of Epidemiology 31(3):699-700, June 2002. Note: This otherwise excellent review states that the book recommends selecting variables to include in the model on the basis of their frequency of selection by a bootstrap procedure. This is definitely not the case.
    5. Journal of the American Statistical Association 98:257-258, March 2003
    6. Medical Decision Making, 23(2):182-183, April 2003
    7. Technometrics 45:170, May 2003
    8. Statistics in Medicine 22:2531-2532, 15 Aug 2003
    9.,11855,4-10129-22-2187282-0,00.html?detailsPage=ppmmedia|reviews|reviews Reviews at Springer
    10. Clinical Chemistry
  • Errata for the first and second and later printings. The book had its third printing in December 2002 and its fourth printing in December 2003. The sixth printing was in December 2005.
  • Syllabus for a one-semester course using part of the text, for students who have not had a course in linear regression.
  • Interactive Overview of many of the methods in the book
  • Syllabus for a more advanced course using the text up until survival analysis, for students already versed in ordinary linear regression.

Topic revision: r4 - 09 Oct 2012, EveAnderson

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