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

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

In biomedical studies on HIV RNA dynamics, viral loads generate repeated measures that are often subjected to upper and lower detection limits, and hence these responses are either left- or right-censored. Linear and non-linear mixed-effects censored (LMEC/NLMEC) models are routinely used to analyse...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Journal of multivariate analysis. - 1998. - 141(2015) vom: 01. Okt., Seite 104-117
1. Verfasser: Matos, Larissa A (VerfasserIn)
Weitere Verfasser: Bandyopadhyay, Dipankar, Castro, Luis M, Lachos, Victor H
Format: Aufsatz
Sprache:English
Veröffentlicht: 2015
Zugriff auf das übergeordnete Werk:Journal of multivariate analysis
Schlagworte:Journal Article Censored data ECM algorithm case-deletion diagnostics linear mixed-effects model multivariate Student’s-t distribution non-linear mixed-effects model