Bayesian inference on mixed-effects location scale models with skew-t distribution and mismeasured covariates for longitudinal data

• Published in: Statistics in medicine Vol. 36; no. 16; p. 2614
• Main Author: Lu, Tao
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 20.07.2017
• Subjects: Acquired immune deficiency syndrome; AIDS; Analysis of Variance; Anti-HIV Agents - therapeutic use; Bayes Theorem; Bayesian analysis; Biostatistics; CD4 Lymphocyte Count; Cohort Studies; Computer Simulation; Data Interpretation, Statistical; HIV Infections - drug therapy; HIV Infections - immunology; HIV Infections - virology; HIV-1; Humans; Longitudinal Studies; Male; Medical statistics; Models, Statistical; Normal Distribution; Parameter estimation; Prospective Studies; Statistical Distributions; Viral Load; covariate measurement errors; mixed-effects location scale models; skew-t distribution; AIDS study; Bayesian inference; longitudinal data
• ISSN: 0277-6715; 1097-0258; 1097-0258
• DOI: 10.1002/sim.7315

In AIDS studies, heterogeneous between and within subject variations are often observed on longitudinal endpoints. To accommodate heteroscedasticity in the longitudinal data, statistical methods have been developed to model the mean and variance jointly. Most of these methods assume (conditional) no...