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Dynamic Prediction in Clinical Survival Analysis

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Dynamic Prediction in Clinical Survival Analysis - van Houwelingen, Hans, and Putter, Hein
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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 ...

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Dynamic Prediction in Clinical Survival Analysis 2011, CRC Press Inc, Bosa Roca

ISBN-13: 9781439835333

Hardcover