A mixed-effects model for growth curves analysis in a two-way crossed classification layout

We propose a mixed-effects linear model for analyzing growth curves data obtained using a two-way classification experiment. The model combines an unconstrained means model and a regression model on the time, in which the coefficients are considered random. The model allows for experimental unit cov...

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Bibliographic Details
Main Authors: Mario Miguel Ojeda, Hardeo Sahai
Format: Article
Language:Spanish
Published: Universidad de Costa Rica 2009-02-01
Series:Revista de Matemática: Teoría y Aplicaciones
Online Access:https://revistas.ucr.ac.cr/index.php/matematica/article/view/245

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