Clinical Prediction Models

A Practical Approach to Development, Validation, and Updating

Authors:

ISBN: 978-0-387-77243-1 (Print) 978-0-387-77244-8 (Online)

Table of contents (24 chapters)

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  1. Front Matter

    Pages i-xxviii

  2. Chapter

    Pages 1-7

    Introduction

  3. Chapter

    Pages 11-31

    Applications of prediction models

  4. Chapter

    Pages 33-52

    Study design for prediction models

  5. Chapter

    Pages 53-82

    Statistical Models for Prediction

  6. Chapter

    Pages 83-100

    Overfitting and optimism in prediction models

  7. Chapter

    Pages 101-111

    Choosing between alternative statistical models

  8. Chapter

    Pages 115-137

    Dealing with missing values

  9. Chapter

    Pages 139-157

    Case study on dealing with missing values

  10. Chapter

    Pages 159-173

    Coding of Categorical and Continuous Predictors

  11. Chapter

    Pages 175-189

    Restrictions on candidate predictors

  12. Chapter

    Pages 191-211

    Selection of main effects

  13. Chapter

    Pages 213-230

    Assumptions in regression models:Additivity and linearity

  14. Chapter

    Pages 231-242

    Modern estimation methods

  15. Chapter

    Pages 243-254

    Estimation with external information

  16. Chapter

    Pages 255-280

    Evaluation of performance

  17. Chapter

    Pages 281-297

    Clinical Usefulness

  18. Chapter

    Pages 299-311

    Validation of Prediction Models

  19. Chapter

    Pages 313-331

    Presentation formats

  20. Chapter

    Pages 335-360

    Patterns of external validity

  21. Chapter

    Pages 361-389

    Updating for a new setting

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