jmpost

The goal of the R package is to fit joint models involving:

  1. a parametric time-to-event sub-model,

  2. a nonlinear (or linear) mixed-effect sub-model, describing individual time profiles (i.e. trajectories) for a continuous marker,

  3. a link function (a.k.a. association term). More specifically, the model implemented in this package utilizes a modelling framework described previously [1-3] to link overall survival to tumour size data in oncology clinical trials.

[1] Tardivon et al. Association between tumour size kinetics and survival in patients with urothelial carcinoma treated with atezolizumab: Implications for patient follow-up. Clin Pharm Ther, 2019.

[2] Kerioui et al. Bayesian inference using Hamiltonian Monte-Carlo algorithm for nonlinear joint modelling in the context of cancer immunotherapy. Stat in Med, 2020.

[3] Kerioui et al. Modelling the association between biomarkers and clinical outcome: An introduction to nonlinear joint models. Br J Clin Pharm, 2022.

The models are implemented in Stan, and the package provides a flexible user interface.

 

Biostatistics Intern at Roche Diagnostics, 2022