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

 

Sparad:
Bibliografiska uppgifter
Författarna: Ojeda, Mario Miguel, Sahai, Hardeo
Materialtyp: artículo original
Status:Versión publicada
Utgivningstid:2004
Beskrivning: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.
Land:Portal de Revistas UCR
Organisation:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Språk:Español
OAI Identifier:oai:archivo.portal.ucr.ac.cr:article/245
Länkar:https://archivo.revistas.ucr.ac.cr/index.php/matematica/article/view/245
Nyckelord: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