JMbayes

swMATH19775CRANJMbayesMaRDI QIDQ31599

Joint Modeling of Longitudinal and Time-to-Event Data under a Bayesian Approach

Dimitris Rizopoulos

Last update: 9 January 2020

Copyright license: GNU General Public License, version 3.0, GNU General Public License, version 2.0

Software version identifier: 0.8-85

Source code repository: https://github.com/cran/JMbayes

Cites work

• The R Package JMbayes for Fitting Joint Models for Longitudinal and Time-to-Event Data Using MCMC

Related Items (13)

A flexible link for joint modelling longitudinal and survival data accounting for individual longitudinal heterogeneity ⋮ A fast approximate EM algorithm for joint models of survival and multivariate longitudinal data ⋮ Bayesian Approach for Joint Modeling Longitudinal Data and Survival Data Simultaneously in Public Health Studies ⋮ On the predictive performance of two Bayesian joint models: a simulation study ⋮ JOINT MODEL PREDICTION AND APPLICATION TO INDIVIDUAL-LEVEL LOSS RESERVING ⋮ Joint modeling of longitudinal count and time-to-event data with excess zero using accelerated failure time model: an application with CD4 cell counts ⋮ Joint models with multiple longitudinal outcomes and a time-to-event outcome: a corrected two-stage approach ⋮ Joint modeling of longitudinal and time-to-event data on multivariate protein biomarkers ⋮ Frequentist and Bayesian approaches for a joint model for prostate cancer risk and longitudinal prostate-specific antigen data ⋮ A Bayesian inference for the penalized spline joint models of longitudinal and time-to-event data: a prior sensitivity analysis ⋮ Joint models for longitudinal counts and left-truncated time-to event data with applications to health insurance ⋮ An alternative characterization of MAR in shared parameter models for incomplete longitudinal data and its utilization for sensitivity analysis ⋮ Comparison of joint modelling and landmarking approaches for dynamic prediction using bootstrap simulation

This page was built for software: JMbayes