Revista de Matemática: Teoría y Aplicaciones ISSN Impreso: 1409-2433 ISSN electrónico: 2215-3373

OAI: https://revistas.ucr.ac.cr/index.php/matematica/oai
A mixed-effects model for growth curves analysis in a two-way crossed classification layout
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Keywords

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

How to Cite

Ojeda, M. M., & Sahai, H. (2004). A mixed-effects model for growth curves analysis in a two-way crossed classification layout. Revista De Matemática: Teoría Y Aplicaciones, 11(2), 87–98. https://doi.org/10.15517/rmta.v11i2.245

Abstract

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.

https://doi.org/10.15517/rmta.v11i2.245
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