Censored mixed-effects models for irregularly observed repeated measures with applications to HIV viral loads

DOI10.1007/S11749-016-0486-2zbMath1369.62149OpenAlexW2297208311MaRDI QIDQ2397983

Larissa A. Matos, Luis Mauricio Castro, Victor Hugo Lachos

Publication date: 14 August 2017

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11749-016-0486-2

zbMATH Keywords

EM algorithmcensored datairregularly observed dataHIV viral loadlinear/nonlinear mixed models

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) General nonlinear regression (62J02) Medical epidemiology (92C60)

Related Items (5)

Finite mixture of censored linear mixed models for irregularly observed longitudinal data ⋮ Heavy-tailed longitudinal regression models for censored data: a robust parametric approach ⋮ Moments and random number generation for the truncated elliptical family of distributions ⋮ Linear censored regression models with skew scale mixtures of normal distributions ⋮ Semiparametric inference for the scale-mixture of normal partial linear regression model with censored data

Uses Software

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• tlmec
• MEMSS
• lmec

Cites Work

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