Joint modelling of longitudinal binary data and survival data

DOI10.1080/02664763.2019.1590540OpenAlexW2924579880MaRDI QIDQ5034178

Yi-Ting Hwang, Chun-Chao Wang, Yi-Kuan Tseng, Chia-Hui Huang, Tzu-Yin Lin

Publication date: 24 February 2022

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

Full work available at URL: https://doi.org/10.1080/02664763.2019.1590540

zbMATH Keywords

Cox modelMetropolis-Hastings algorithmgeneralized linear modelquality of lifeMonte Carlo EM algorithm

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Uses Software

• fminsearch

Cites Work

• Unnamed Item
• Unnamed Item
• Asymptotic results for maximum likelihood estimators in joint analysis of repeated measurements and survival time
• A Bayesian Semiparametric Joint Hierarchical Model for Longitudinal and Survival Data
• Dynamic Predictions and Prospective Accuracy in Joint Models for Longitudinal and Time-to-Event Data
• Joint Analysis of Longitudinal Data Comprising Repeated Measures and Times to Events
• Joint model of multiple longitudinal measures and a binary outcome: An application to predict orthostatic hypertension for subacute stroke patients
• A Two-Part Joint Model for the Analysis of Survival and Longitudinal Binary Data with Excess Zeros
• Joint modelling of accelerated failure time and longitudinal data
• Partial likelihood
• Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
• A Joint Model for Survival and Longitudinal Data Measured with Error
• Bias reduction of maximum likelihood estimates
• Modeling the Relationship of Survival to Longitudinal Data Measured with Error. Applications to Survival and CD4 Counts in Patients with AIDS
• An extended hazard model with longitudinal covariates
• Bayesian Analysis of Binary and Polychotomous Response Data
• Joint Modeling of Survival and Longitudinal Data: Likelihood Approach Revisited
• Simultaneous analysis of quality of life and survival data
• Monte Carlo sampling methods using Markov chains and their applications
• Joint modelling of longitudinal measurements and event time data
• Survival Model Predictive Accuracy and ROC Curves
• The Monte Carlo Method

This page was built for publication: Joint modelling of longitudinal binary data and survival data