Time Varying Mixed Effects Model with Fused Lasso Regularization

The associations between covariates and the outcomes often vary over time, regardless of whether the covariate is time-varying or time-invariant. For example, we hypothesize that the impact of chronic diseases, such as diabetes and heart disease, on people's physical functions differ with aging...

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Détails bibliographiques
Publié dans:Journal of applied statistics. - 1991. - 48(2021), 8 vom: 25., Seite 1513-1526
Auteur principal: Yu, Jaehong (Auteur)
Autres auteurs: Zhong, Hua
Format: Article en ligne
Langue:English
Publié: 2021
Accès à la collection:Journal of applied statistics
Sujets:Journal Article Fused lasso Linear mixed effect model Longitudinal analysis Regularization Time-varying fixed effect