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Modelling the association between biomarkers and clinical outcome: An introduction to nonlinear joint models
Marion Kerioui1,2,3,4, Julie Bertrand1, René Bruno5
1Université de Paris, Paris, France.
Abstract:
Nonlinear joint models are a powerful tool to precisely analyse the association between a nonlinear biomarker and a time-to-event process, such as death. Here, we review the main methodological techniques required to build these models and to make inferences and predictions. We describe the main clinical applications and discuss the future developments of such models.
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