Extended Joint Models for Longitudinal and Time-to-event Data: with applications in cardiothoracic surgery
Uitgebreide joint models voor longitudinale en overlevingsdata: met toepassingen in cardiothoracale chirurgie
In this thesis, we developed extensions for the joint modeling framework for longitudinal and time-to-event data, motivated by various clinical research questions in cardiothoracic surgery. These extensions focus in the handling of intermediate events during follow-up, feature selection in multivariate settings such as multiple longitudinal outcomes and multi-state processes using Bayesian shrinkage priors and sensitivity analysis for missing data under the joint modeling framework.
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|D. Rizopoulos (Dimitris) , J.J.M. Takkenberg (Hanneke)|
|Erasmus University Rotterdam|
|Organisation||Department of Biostatistics|
Papageorgiou, G. (2021, December 14). Extended Joint Models for Longitudinal and Time-to-event Data: with applications in cardiothoracic surgery. Erasmus University Rotterdam. Retrieved from http://hdl.handle.net/1765/137065