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

 

Tallennettuna:
Bibliografiset tiedot
Tekijät: Ojeda, Mario Miguel, Sahai, Hardeo
Aineistotyyppi: artículo original
Tila:Versión publicada
Julkaisupäivä:2004
Kuvaus: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.
Maa:Portal de Revistas UCR
Organisaatio:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Kieli:Español
OAI Identifier:oai:archivo.portal.ucr.ac.cr:article/245
Linkit:https://archivo.revistas.ucr.ac.cr/index.php/matematica/article/view/245
Sanahaku: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