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Adaptive Fitting of Linear Mixed-Effects Models with Correlated Random-effects

Linear mixed-effects model has been widely used in longitudinal data analyses. In practice, the fitting algorithm can fail to converge due to boundary issues of the estimated random-effects covariance matrix G, i.e., being near-singular, non-positive definite, or both. Current available algorithms a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Zhang, Guangxiang, Chen, John J.
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2012
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3836449/
https://ncbi.nlm.nih.gov/pubmed/24273355
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/00949655.2012.690763
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