Medical Risk Prediction Models

Language: English

Published by Taylor and Francis Ltd, GB, 2022

0367673738 / 9780367673734

Series: Book 116 of 155 - Chapman & Hall/CRC Biostatistics

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Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK

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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.

Seller Inventory # LU-9780367673734

Title
Medical Risk Prediction Models
Author
Michael W. Kattan, Thomas A. Gerds
Publisher
Taylor and Francis Ltd, GB
Publication year
2022
Condition
New
Binding
Paperback
Language
English
ISBN 10
0367673738
ISBN 13
9780367673734
Item weight
580 grams
Series
Book 116 of 155: Chapman & Hall/CRC Biostatistics

Rarewaves.com UK

London, United Kingdom

5-star seller

AbeBooks seller since June 11, 2025

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