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Patient-Based Abdominal Aortic Aneurysm Rupture Risk Prediction with Fluid Structure Interaction Modeling

✍ Scribed by Michalis Xenos; Suraj H. Rambhia; Yared Alemu; Shmuel Einav; Nicos Labropoulos; Apostolos Tassiopoulos; John J. Ricotta; Danny Bluestein


Book ID
106334186
Publisher
Springer
Year
2010
Tongue
English
Weight
969 KB
Volume
38
Category
Article
ISSN
0090-6964

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Joint modelling of longitudinal and time
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## Abstract Shared random effects joint models are becoming increasingly popular for investigating the relationship between longitudinal and time‐to‐event data. Although appealing, such complex models are computationally intensive, and quick, approximate methods may provide a reasonable alternative