Quantile regression for censored mixed-effects models with applications to HIV studies

DOI10.4310/SII.2015.v8.n2.a8zbMath1405.62185WikidataQ36444972 ScholiaQ36444972MaRDI QIDQ1747445

Carlos A. Abanto-Valle, Ming-Hui Chen, Victor Hugo Lachos, Caio Lucidius Naberezny Azevedo

Publication date: 8 May 2018

Published in: Statistics and Its Interface (Search for Journal in Brave)

zbMATH Keywords

Gibbs samplingasymmetric Laplace distributioncensored regression modelHIV viral load

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (5)

Bayesian joint quantile regression for mixed effects models with censoring and errors in covariates ⋮ Weighted composite quantile regression for longitudinal mixed effects models with application to AIDS studies ⋮ Likelihood-based quantile mixed effects models for longitudinal data with multiple features via MCEM algorithm ⋮ Joint modeling for mixed-effects quantile regression of longitudinal data with detection limits and covariates measured with error, with application to AIDS studies ⋮ Quantile regression-based Bayesian semiparametric mixed-effects models for longitudinal data with non-normal, missing and mismeasured covariate

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