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 analyze...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of multivariate analysis 2015-10, Vol.141, p.104-117
Hauptverfasser:	Matos, Larissa A., Bandyopadhyay, Dipankar, Castro, Luis M., Lachos, Victor H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Case-deletion diagnostics Censored data ECM algorithm Linear mixed-effects model Multivariate Student’s-[formula omitted] distribution Non-linear mixed-effects model
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!