Medical Risk Prediction Models: With Ties to Machine Learning (Chapman & Hall/CRC Biostatistics Series) - Tapa blanda

Libro 115 de 151: Chapman & Hall/CRC Biostatistics

Gerds, Thomas A.; Kattan, Michael W.

 
9780367673734: Medical Risk Prediction Models: With Ties to Machine Learning (Chapman & Hall/CRC Biostatistics Series)
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ISBN 10: 0367673738 ISBN 13: 9780367673734
Editorial: Chapman and Hall/CRC, 2022

Sinopsis

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.

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Acerca del autor

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.

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Editorial
Chapman and Hall/CRC
Año de publicación
2022
Idioma
Inglés
ISBN 10 
0367673738
ISBN 13 
9780367673734
Encuadernación
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Número de edición
1
Número de páginas
312
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania

Otras ediciones populares con el mismo título

9781138384477: Medical Risk Prediction Models: With Ties to Machine Learning (Chapman & Hall/CRC Biostatistics Series)

Edición Destacada

ISBN 10:  113838447X ISBN 13:  9781138384477
Editorial: Chapman and Hall/CRC, 2021
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