Influence assessment in censored mixed-effects models using the multivariate Student's-\(t\) distribution

DOI10.1016/j.jmva.2015.06.014zbMath1331.62429OpenAlexW2109608307WikidataQ35856624 ScholiaQ35856624MaRDI QIDQ746870

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

Publication date: 21 October 2015

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2015.06.014

zbMATH Keywords

censored dataECM algorithmlinear mixed-effects modelcase-deletion diagnosticsmultivariate Student's-\(t\) distributionnonlinear mixed-effects model

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Bayesian inference (62F15) Diagnostics, and linear inference and regression (62J20)

Related Items

Censored mixed-effects models for irregularly observed repeated measures with applications to HIV viral loads, Finite mixture of censored linear mixed models for irregularly observed longitudinal data, Heavy-tailed longitudinal regression models for censored data: a robust parametric approach

Uses Software

• lmec

Cites Work

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