Medical Risk Prediction Models: With Ties to Machine Learning by Gerds, Thomas A.
Medical Risk Prediction Models: With Ties to Machine Learning by Gerds, Thomas A.

Medical Risk Prediction Models: With Ties to Machine Learning

Medical Risk Prediction Models: With Ties to Machine Learning is a hands-on book for clinicians, epidemiologists, and...
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SKU: 9780367673734
Product Type: Books
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Author: Thomas A. Gerds
Format: Paperback
Language: English
Subtotal: BD$162.61
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Medical Risk Prediction Models: With Ties to Machine Learning by Gerds, Thomas A.

Medical Risk Prediction Models: With Ties to Machine Learning

BD$162.61
Medical Risk Prediction Models: With Ties to Machine Learning by Gerds, Thomas A.

Medical Risk Prediction Models: With Ties to Machine Learning

BD$162.61
Author: Thomas A. Gerds
Format: Paperback
Language: English
Description

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.

Author: Thomas A. Gerds, Michael W. Kattan
Publisher: CRC Press
Published: 08/29/2022
Pages: 290
Binding Type: Paperback
Weight: 0.97lbs
Size: 9.21h x 6.14w x 0.66d
ISBN: 9780367673734

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