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

 

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφείς: Ojeda, Mario Miguel, Sahai, Hardeo
Μορφή: artículo original
Κατάσταση:Versión publicada
Ημερομηνία έκδοσης:2004
Περιγραφή: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.
Χώρα:Portal de Revistas UCR
Ίδρυμα:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Γλώσσα:Español
OAI Identifier:oai:archivo.portal.ucr.ac.cr:article/245
Διαθέσιμο Online:https://archivo.revistas.ucr.ac.cr/index.php/matematica/article/view/245
Λέξη-Κλειδί :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