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Dynamic Prediction in Clinical Survival Analysis

Dynamic Prediction in Clinical Survival Analysis

Hardcover

Series: Chapman & Hall/CRC Monographs on Statistics and Applied Prob

Medical ReferenceApplicationsProbability & Statistics

ISBN10: 1439835330
ISBN13: 9781439835333
Publisher: Crc Pr Inc
Published: Nov 9 2011
Pages: 250
Weight: 0.90
Height: 0.50 Width: 6.90 Depth: 9.60
Language: English

There is a huge amount of literature on statistical models for the prediction of survival after diagnosis of a wide range of diseases like cancer, cardiovascular disease, and chronic kidney disease. Current practice is to use prediction models based on the Cox proportional hazards model and to present those as static models for remaining lifetime after diagnosis or treatment. In contrast, Dynamic Prediction in Clinical Survival Analysis focuses on dynamic models for the remaining lifetime at later points in time, for instance using landmark models.

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