A mixed-effects model for growth curves analysis in a two-way crossed classification layout
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| Авторы: | , |
|---|---|
| Формат: | artículo original |
| Статус: | Versión publicada |
| Дата публикации: | 2004 |
| Описание: | 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. |
| Страна: | Portal de Revistas UCR |
| Институт: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| Язык: | Español |
| OAI Identifier: | oai:archivo.portal.ucr.ac.cr:article/245 |
| Online-ссылка: | https://archivo.revistas.ucr.ac.cr/index.php/matematica/article/view/245 |
| Ключевое слово: | 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 |