Regression analysis of longitudinal data with time-dependent covariates in the presence of informative observation and censoring times

DOI10.1016/j.jspi.2011.03.013zbMath1213.62072OpenAlexW2020493154MaRDI QIDQ538149

Liu-Quan Sun, Jie Zhou, Xin-Yuan Song

Publication date: 23 May 2011

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2011.03.013

zbMATH Keywords

latent variablesmodel checkinggeneralized estimating equationstime-varying coefficientinformative observation timesjoint modeling

Mathematics Subject Classification ID

Related Items (5)

Meeting the assumptions of inverse-intensity weighting for longitudinal data subject to irregular follow-up: suggestions for the design and analysis of clinic-based cohort studies ⋮ Continuous time hidden Markov model for longitudinal data ⋮ Analyzing longitudinal data with informative observation and terminal event times ⋮ Comparison of two frameworks for analyzing longitudinal data ⋮ Covariate-Adjusted Regression for Distorted Longitudinal Data With Informative Observation Times

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