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

 

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Bibliografski detalji
Autori: Ojeda, Mario Miguel, Sahai, Hardeo
Format: artículo original
Status:Versión publicada
Datum izdanja:2004
Opis: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 covariates so as to study the trend and the variability of the individual growth curves. Comments on data analysis strategies are provided. An application of the model is illustrated using a data-set comes from a chrysanthemum growth experiment.
Zemlja:Portal de Revistas UCR
Institucija:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Jezik:Español
OAI Identifier:oai:portal.ucr.ac.cr:article/245
Online pristup:https://revistas.ucr.ac.cr/index.php/matematica/article/view/245
Ključna riječ:multilevel linear regression models
random coefficients models
means models
data analysis strategies
Modelos de regresión lineal multinivel
modelos de coeficientes aleatorios
modelos de medias
estrategias de analisis de datos