Abstract
In many biomedical studies, patient are followed-up repeatedly during the research study and different types of outcomes are collected such as longitudinal biomarkers and a time-to-event information. Commonly, it is of interest to study the association between the longitudinal biomarkers and the time-to-event. This chapter gives an overview of joint models for a single longitudinal and survival data with its extensions to multivariate longitudinal and time-to-event models.
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Guler, I., Faes, C., Gude, F., Cadarso-Suárez, C. (2018). Recent Developments and Advances in Joint Modelling of Longitudinal and Survival Data. In: Gil, E., Gil, E., Gil, J., Gil, M. (eds) The Mathematics of the Uncertain. Studies in Systems, Decision and Control, vol 142. Springer, Cham. https://doi.org/10.1007/978-3-319-73848-2_21
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DOI: https://doi.org/10.1007/978-3-319-73848-2_21
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