Dynamic prediction in clinical survival analysis
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 prese...
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| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Boca Raton
CRC Press
2012
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| Series: | Monographs on statistics and applied probability (Series)
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| Subjects: | |
| Online Access: | Click Here to View Status and Holdings. |
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Add Tag | Summary: | 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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| Physical Description: | xvi, 234 pages illustrations 26 cm |
| Bibliography: | Includes bibliographical references and index |
| ISBN: | 9781439835333 1439835330 |
Survival analysis techniques for censored and truncated data