Dynamic prediction in clinical survival analysis

• Main Authors: Houwelingen, J. C. van (Author), Putter, Hein (Author)
• Format: Book
• Language: English
• Published: Boca Raton CRC Press 2012
• Series: Monographs on statistics and applied probability (Series)
• Subjects: Survival Analysis; Proportional Hazards Models
• Online Access: Click Here to View Status and Holdings.

 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