Joint Models for Longitudinal and Time-to-Event Data: With Applications in R

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Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction (2017, background): “, λ(s) = λ0(s) exp(γxis + α fi(s)),∀s, [9].”
Estimation of extended mixed models using latent classes and latent processes: the R package lcmm (2015, methodology): “Among joint models, one can distinguish two families: the shared random-effect models (see Rizopoulos 2012) in which functions of the random-effects from the linear mixed model are included in the survival model, and the joint latent class model (Lin, Turnbull, McCulloch, and Slate 2002;…”