Bivariate Modelling of Longitudinal Measurements of Two Human Immunodeficiency Type 1 Disease Progression Markers in the Presence of Informative Drop-Outs

DOI10.1111/J.1467-9876.2005.00491.XzbMath1490.62370OpenAlexW1971604410MaRDI QIDQ5757769

A. S. Walker, Giota Touloumi, Nikos Pantazis, Abdel G. A. Babiker

Publication date: 7 September 2007

Published in: Journal of the Royal Statistical Society Series C: Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9876.2005.00491.x

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical epidemiology (92C60)

Related Items (2)

HIV dynamics and natural history studies: joint modeling with doubly interval-censored event time and infrequent longitudinal data ⋮ Modeling the dynamics of biomarkers during primary HIV infection taking into account the uncertainty of infection date

Cites Work

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• Sensitivity Analysis for Nonrandom Dropout: A Local Influence Approach
• A Semiparametric Likelihood Approach to Joint Modeling of Longitudinal and Time-to-Event Data
• Some Algebra and Geometry for Hierarchical Models, Applied to Diagnostics
• Analysis of Multivariate Longitudinal Outcomes With Nonignorable Dropouts and Missing Covariates
• Random Regression Models for Human Immunodeficiency Virus Ribonucleic Acid Data Subject to Left Censoring and Informative Drop-Outs

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