Extending the code in the open-source saemix package to fit joint models of longitudinal and time-to-event data

Author:

Lavalley-Morelle AlexandraORCID,Mentré France,Comets Emmanuelle,Mullaert JimmyORCID

Publisher

Elsevier BV

Reference35 articles.

1. A two-stage joint model for nonlinear longitudinal response and a time-to-event with application in transplantation studies;Murawska;J. Probab. Stat.,2012

2. Joint Models for Longitudinal and Time-to-Event Data: with Applications in R;Rizopoulos,2012

3. Nonlinear mixed-effect models for prostate-specific antigen kinetics and link with survival in the context of metastatic prostate cancer: a comparison by simulation of two-stage and joint approaches;Desmée;AAPS J.,2015

4. Bayesian inference using Hamiltonian Monte-Carlo algorithm for nonlinear joint modeling in the context of cancer immunotherapy;Kerioui;Stat. Med.,2020

5. Joint modeling under competing risks: application to survival prediction in patients admitted in intensive care unit for sepsis with daily sequential organ failure assessment score assessments;Lavalley-Morelle;CPT: Pharmacometr. Syst. Pharmacol.,2022

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