Modelling the association between biomarkers and clinical outcome: An introduction to nonlinear joint models
Marion Kerioui, Julie Bertrand, René Bruno, François Mercier, Jérémie Guedj, Solène Desmée
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.
Topics & Concepts
Nonlinear systemOutcome (game theory)Joint (building)Computer scienceAssociation (psychology)Event (particle physics)Process (computing)EngineeringPsychologyMathematicsArchitectural engineeringOperating systemPhysicsPsychotherapistQuantum mechanicsMathematical economicsStatistical Methods in Clinical TrialsAdvanced Causal Inference TechniquesSepsis Diagnosis and Treatment