9780367673734: Medical Risk Prediction Models
Couverture souple
ISBN 10 : 0367673738 ISBN 13 : 9780367673734
Editeur : Chapman and Hall/CRC, 2022

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

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

Michael 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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Chapman and Hall/CRC
Date d'édition
2022
Langue
anglais
ISBN 10 
0367673738
ISBN 13 
9780367673734
Reliure
Broché
Nombre de pages
290
Coordonnées du fabricant
non disponible
Personne responsable
gpsr@libri.de
gpsr@libri.de

Friedensallee 273
Hamburg
22763
Allemagne

Autres éditions populaires du même titre

9781138384477: Medical Risk Prediction Models

Edition présentée

ISBN 10 :  113838447X ISBN 13 :  9781138384477
Editeur : Chapman and Hall/CRC, 2021
Couverture rigide