Joint analysis of longitudinal data with additive mixed effect model for informative observation times

DOI10.1016/J.JSPI.2015.08.001zbMath1333.62238OpenAlexW1184540210MaRDI QIDQ900766

Sha Fang, Hai-xiang Zhang, Liu-Quan Sun

Publication date: 22 December 2015

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.2015.08.001

zbMATH Keywords

longitudinal datalatent variablesestimating equationsinformative observation timesjoint modelingadditive mixed effect model

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (4)

A methodology for improving efficiency estimation based on conditional mix-GEE models in longitudinal studies ⋮ Functional Data Analysis for Longitudinal Data with Informative Observation Times ⋮ Conditional mix-GEE models for longitudinal data with unspecified random-effects distributions ⋮ Time-varying latent model for longitudinal data with informative observation and terminal event times

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