Home / Search / Medical Risk Prediction Models: With Ties to Machine Learning
ISBN-13 · 9780367673734ISBN-10 · 0367673738Publisher · CRC PressFormat · Paperback, 312 pagesPublished · 2022Language · English
Medical Risk Prediction Models: With Ties to Machine Learning
Rent this book
Free return shipping includedTotal rental price$39.08
Please Note: Rental books are typically used and do not come with any unused access code cards.
Return by 2026-10-26. Prepaid return label included; extend at any point for the difference in price.
Buy from a seller
Bookface-OutletShips from CA
GoodTypical used book with minor wear and signs of use. May have some highlighting or writing.
105.77
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.