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Regression Modeling Strategies

With Applications to Linear Models, Logistic Regression, and Survival Analysis

  • Frank E. HarrellJr.

Part of the Springer Series in Statistics book series (SSS)

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Frank E. Harrell Jr.
    Pages 1-9
  3. Frank E. Harrell Jr.
    Pages 11-40
  4. Frank E. Harrell Jr.
    Pages 41-52
  5. Frank E. Harrell Jr.
    Pages 53-85
  6. Frank E. Harrell Jr.
    Pages 105-120
  7. Frank E. Harrell Jr.
    Pages 147-177
  8. Frank E. Harrell Jr.
    Pages 179-213
  9. Frank E. Harrell Jr.
    Pages 215-267
  10. Frank E. Harrell Jr.
    Pages 269-298
  11. Frank E. Harrell Jr.
    Pages 331-343
  12. Frank E. Harrell Jr.
    Pages 375-388
  13. Frank E. Harrell Jr.
    Pages 389-412
  14. Frank E. Harrell Jr.
    Pages 413-442
  15. Frank E. Harrell Jr.
    Pages 465-507

About this book

Introduction

Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".

Keywords

Analysis Excel Fitting Resampling Survival analysis best fit data analysis data mining modeling

Authors and affiliations

  • Frank E. HarrellJr.
    • 1
  1. 1.Department of BiostatisticsVanderbilt University School of MedicineNashvilleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4757-3462-1
  • Copyright Information Springer-Verlag New York 2001
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4419-2918-1
  • Online ISBN 978-1-4757-3462-1
  • Series Print ISSN 0172-7397
  • Buy this book on publisher's site