Bayesian joint modelling of longitudinal and time to event data: a methodological review

Bayesian joint modelling of longitudinal and time to event data: a methodological review

Abstract Background In clinical research, there is an increasing interest in joint modelling of longitudinal and time-to-event data, since it reduces bias in parameter estimation and increases the efficiency of statistical inference. Inference and prediction from frequentist approaches of joint mode...

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Bibliographic Details
Main Authors: Maha Alsefri, Maria Sudell, Marta García-Fiñana, Ruwanthi Kolamunnage-Dona
Format: Article
Language:English
Published: BMC 2020-04-01
Series:BMC Medical Research Methodology
Subjects:
Joint models
Longitudinal outcomes
Time-to-event
Dynamic prediction
Bayesian estimation
Online Access:http://link.springer.com/article/10.1186/s12874-020-00976-2

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http://link.springer.com/article/10.1186/s12874-020-00976-2

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