More than one way: exploring the capabilities of different estimation approaches to joint models for longitudinal and time-to-event outcomes

DOI10.1515/ijb-2020-0067MaRDI QIDQ6637081

Elisabeth Waldmann, Andreas Mayr, Anja Rappl

Publication date: 13 November 2024

Published in: The International Journal of Biostatistics (Search for Journal in Brave)

zbMATH Keywords

Bayesian statisticsexpectation maximizationjoint modelslongitudinal and time-to-eventmodel-based statistical boosting

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Title not available (Why is that?)
• A review on joint models in biometrical research
• Joint Models for Longitudinal and Time-to-Event Data
• A Semiparametric Likelihood Approach to Joint Modeling of Longitudinal and Time-to-Event Data
• Dynamic Predictions and Prospective Accuracy in Joint Models for Longitudinal and Time-to-Event Data
• Joint modelling of accelerated failure time and longitudinal data
• A Joint Model for Survival and Longitudinal Data Measured with Error
• Boosting joint models for longitudinal and time‐to‐event data
• Joint Modeling of Survival and Longitudinal Data: Likelihood Approach Revisited
• Joint modelling of longitudinal measurements and event time data

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