A shared parameter model of longitudinal measurements and survival time with heterogeneous random-effects distribution

DOI10.1080/02664763.2016.1266309OpenAlexW2565524967MaRDI QIDQ5138748

T. Baghfalaki, Geert Verbeke, Mojtaba Ganjali

Publication date: 4 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2016.1266309

zbMATH Keywords

longitudinal dataMarkov chain Monte Carlogradientdirectional derivativeBayesian approachjoint modelstime to event data

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

A Joint Modeling Approach for Longitudinal Outcomes and Non-ignorable Dropout under Population Heterogeneity in Mental Health Studies ⋮ Joint modelling of longitudinal measurements and survival times via a multivariate copula approach ⋮ A Gaussian copula joint model for longitudinal and time-to-event data with random effects ⋮ Joint modeling of survival time and longitudinal outcomes with flexible random effects

Uses Software

• WinBUGS
• JM

Cites Work

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