Modelling the association between biomarkers and clinical outcome: An introduction to nonlinear joint models

Modelling the association between biomarkers and clinical outcome: An introduction to nonlinear joint models

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 cli...

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Veröffentlicht in:British journal of clinical pharmacology 2022-02, Vol.88 (4), p.1452-1463
Hauptverfasser: Kerioui, Marion, Bertrand, Julie, Bruno, René, Mercier, François, Guedj, Jérémie, Desmée, Solène
Format: Artikel
Sprache:eng
Schlagworte:
biostatistics
Computer Science
Life Sciences
methodology
Modeling and Simulation
modelling and simulation
Pharmaceutical sciences
Pharmacology
population analysis
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Zusammenfassung: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.
ISSN:0306-5251
1365-2125
DOI:10.1111/bcp.15200