Bayesian joint model with latent time shifts for longitudinal data with informative dropout

BMC Medical Research Methodology · Published 2026-08-04 · DOI 10.1186/s12874-026-02942-w

Free full text

Authors (4)

Xuzhi Wang, Yorghos Tripodis, Michael LaValley, Chunyu Liu

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year

2026

Citation

Wang, X., Tripodis, Y., LaValley, M., et al. (2026). Bayesian joint model with latent time shifts for longitudinal data with informative dropout. BMC Medical Research Methodology. https://doi.org/10.1186/s12874-026-02942-w

Related articles

• Methods for incorporating test result information within the high-dimensional propensity score framework: application in UK electronic health record data · BMC Medical Research Methodology · 2026 · Same journal
• Applications of causal and structural equation modeling in epidemiology: a systematic and critical review · BMC Medical Research Methodology · 2026 · Same journal
• A reproducible statistical evaluation framework for large-sample assessment of AI-generated medical references: cross-platform application of the reference hallucination score · BMC Medical Research Methodology · 2026 · Same journal
• Automated tools for evidence quality assessment: a scoping review · BMC Medical Research Methodology · 2026 · Same journal
• Methodological advances in claims-based dementia algorithms: integrating medication and clinical data for medicare populations · BMC Medical Research Methodology · 2026 · Same journal
• Robust power and sample size calculations in quasi-likelihood models: methods and practice · BMC Medical Research Methodology · 2026 · Same journal
• The dilemma of using racial and ethnic categories in biomedical research · BMC Medical Research Methodology · 2026 · Same journal
• Clustering longitudinal multivariate trajectories using an ensemble of principal component trees · BMC Medical Research Methodology · 2026 · Same journal
• Widening participation in cognitive neuroscience: a mixed-methods study of age-related motivators, barriers and attitudes towards imaging methods · BMC Medical Research Methodology · 2026 · Same journal
• Application of Q-methodology in chronic disease research: a scoping review · BMC Medical Research Methodology · 2026 · Same journal