A nonlinear mixed-effects model for multivariate longitudinal data with dropout with application to HIV disease dynamics

DOI10.1007/s13253-015-0242-1zbMath1347.62230OpenAlexW2210338813MaRDI QIDQ321422

Artz G. Luwanda, Henry G. Mwambi

Publication date: 13 October 2016

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-015-0242-1

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Cites Work

• Unnamed Item
• Unnamed Item
• Convergence of a stochastic approximation version of the EM algorithm
• Practical identifiability of HIV dynamics models
• Maximum Likelihood Estimation of Long-Term HIV Dynamic Models and Antiviral Response
• Dynamic Model for Multivariate Markers of Fecundability
• A Random-Effects Model for Multiple Characteristics With Possibly Missing Data
• Analysis of Multivariate Longitudinal Outcomes With Nonignorable Dropouts and Missing Covariates
• Maximum Likelihood Computations with Repeated Measures: Application of the EM Algorithm
• Informative Drop-Out in Longitudinal Data Analysis
• Statistical methods for HIV dynamic studies in AIDS clinical trials
• Analyzing incomplete longitudinal clinical trial data

This page was built for publication: A nonlinear mixed-effects model for multivariate longitudinal data with dropout with application to HIV disease dynamics