Skew-normal/independent linear mixed models for censored responses with applications to HIV viral loads

DOI10.1002/bimj.201000173zbMath1244.62076OpenAlexW2162678629WikidataQ36034351 ScholiaQ36034351MaRDI QIDQ2902549

Victor Hugo Lachos, Dipankar Bandyopadhyay, Luis Mauricio Castro, Dey, Dipak K.

Publication date: 21 August 2012

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10533/127672

zbMATH Keywords

detection limitBayesian inference

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Bayesian inference (62F15) Numerical analysis or methods applied to Markov chains (65C40) Diagnostics, and linear inference and regression (62J20)

Related Items

Maximum-likelihood estimation and influence analysis in multivariate skew-normal reproductive dispersion mixed models for longitudinal data, Bayesian hierarchical joint modeling using skew-normal/independent distributions, Asymptotic expansions for moments of skew-normal extremes, Robust joint non-linear mixed-effects models and diagnostics for censored HIV viral loads with CD4 measurement error, Rates of convergence of extremes from skew-normal samples, Bayesian Estimation of Random Parameter Models of Responses with Normal and Skew-t Distibutions Evidence from Monte Carlo Simulation, Flexible linear mixed models with improper priors for longitudinal and survival data, Influence assessment in censored mixed-effects models using the multivariate Student's-\(t\) distribution

Uses Software

• R
• mvtnorm
• sn

Cites Work

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