Bivariate Copula-based Linear Mixed-effects Models: An Application to Longitudinal Child Growth Data

Autor: P.H. FERREIRA, R.L. FIACCONE, J.S. LORDELO, S.O.L. SENA, V.R. DURAN

Publikováno v: TEMA, Vol 20, Iss 1, Pp 37-59 (2019)
TEMA (São Carlos), Issue: ahead, Published: 30 MAY 2019
TEMA (São Carlos) v.20 n.1 2019
TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
Sociedade Brasileira de Matemática Aplicada e Computacional
instacron:SBMAC
TEMA (São Carlos), Volume: 20, Issue: 1, Pages: 37-59, Published: 30 MAY 2019

Multiple longitudinal outcomes are common in public health research and adequate methods are required when there is interest in the joint evolution of response variables over time. However, the main drawback of joint modeling procedures is the requir

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512019000100037&tlng=en