Joint analysis of nonlinear heterogeneous longitudinal data and binary outcome: an application to AIDS clinical studies

DOI10.1080/02664763.2016.1142951OpenAlexW2342281093MaRDI QIDQ5138204

Xiaosun Lu, Yangxin Huang, Rong Zhou

Publication date: 3 December 2020

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

Full work available at URL: https://doi.org/10.1080/02664763.2016.1142951

zbMATH Keywords

Bayesian inferencemeasurement errorsfinite mixture modelslongitudinal data analysisjoint modelingAIDS clinical studies

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Joint model-based clustering of nonlinear longitudinal trajectories and associated time-to-event data analysis, linked by latent class membership: with application to AIDS clinical studies

Uses Software

• WinBUGS

Cites Work

• Unnamed Item
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• Simultaneous Inference for Semiparametric Nonlinear Mixed‐Effects Models with Covariate Measurement Errors and Missing Responses
• Measurement Error in Nonlinear Models
• General growth mixture modeling for randomized preventive interventions

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