bokomslag Medical Risk Prediction Models
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Medical Risk Prediction Models

Thomas A Gerds Michael W Kattan

Pocket

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  • 312 sidor
  • 2022
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 patients 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.
  • Författare: Thomas A Gerds, Michael W Kattan
  • Format: Pocket/Paperback
  • ISBN: 9780367673734
  • Språk: Engelska
  • Antal sidor: 312
  • Utgivningsdatum: 2022-08-29
  • Förlag: Chapman & Hall/CRC