Medical Risk Prediction Models
eBook - ePub

Medical Risk Prediction Models

With Ties to Machine Learning

  1. 312 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Medical Risk Prediction Models

With Ties to Machine Learning

About this book

Medical Risk Prediction Models: With Ties to Machine Learning is a hands-on book for clinicians, epidemiologists, and professional statisticians who need to make or evaluate a statistical prediction model based on data. The subject of the book is the patient's individualized probability of a medical event within a given time horizon. Gerds and Kattan describe the mathematical details of making and evaluating a statistical prediction model in a highly pedagogical manner while avoiding mathematical notation. Read this book when you are in doubt about whether a Cox regression model predicts better than a random survival forest.

Features:



  • All you need to know to correctly make an online risk calculator from scratch


  • Discrimination, calibration, and predictive performance with censored data and competing risks


  • R-code and illustrative examples


  • Interpretation of prediction performance via benchmarks


  • Comparison and combination of rival modeling strategies via cross-validation

Thomas A. Gerds is a professor at the Biostatistics Unit at the University of Copenhagen and is affiliated with the Danish Heart Foundation. He is the author of several R-packages on CRAN and has taught statistics courses to non-statisticians for many years.

Michael W. Kattan is a highly cited author and Chair of the Department of Quantitative Health Sciences at Cleveland Clinic. He is a Fellow of the American Statistical Association and has received two awards from the Society for Medical Decision Making: the Eugene L. Saenger Award for Distinguished Service, and the John M. Eisenberg Award for Practical Application of Medical Decision-Making Research.

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Yes, you can access Medical Risk Prediction Models by Thomas A. Gerds,Michael W. Kattan in PDF and/or ePUB format, as well as other popular books in Mathematics & Biostatistics. We have over one million books available in our catalogue for you to explore.

Information

Edition
1

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication
  7. Contents
  8. Foreword
  9. Preface
  10. Terminology
  11. Software
  12. 1 Why should I care about statistical prediction models?
  13. 2 I am going to make a prediction model. What do I need to know?
  14. 3 How should I prepare for modeling?
  15. 4 I am ready to build a prediction model
  16. 5 Does my model predict accurately?
  17. 6 How do I decide between rival models?
  18. 7 What would make me an expert?
  19. 8 Can’t the computer just take care of all of this?
  20. 9 Things you might have expected in our book
  21. Bibliography
  22. Index