Kerioui Marion, Bertrand Julie, Bruno René, Mercier François, Guedj Jérémie, Desmée Solène
Université de Paris, Paris, France.
Université de Tours, Université de Nantes, Tours, France.
Br J Clin Pharmacol. 2022 Feb;88(4):1452-1463. doi: 10.1111/bcp.15200. Epub 2022 Feb 3.
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.
非线性联合模型是一种强大的工具，可用于精确分析非线性生物标志物与事件发生时间过程（如死亡）之间的关联。在此，我们回顾构建这些模型以及进行推断和预测所需的主要方法技术。我们描述了主要的临床应用，并讨论了此类模型的未来发展。
