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

The backbone of medical decision making is prediction. Statistical prediction models can help in medical decision making. This book takes the viewpoint of the single patient and asks what does it mean that a risk prediction model performs well for a single individual?

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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
no disponible
Persona responsable
no disponible

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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