Model Selection with the Linear Mixed Model for Longitudinal Data
Model Selection with the Linear Mixed Model for Longitudinal Data is a scholarly work by Ji Hoon Ryoo, published in 2011 in ''Multivariate Behavioral Research''. The main subjects of the publication include computer science, linear model, variance, multilevel model, mathematics, population, model selection, hierarchical database model, generalized linear mixed model, econometrics, statistics, random effects model, covariance, missing data, R, fixed effects model, selection (genetic algorithm), mixed model, and regularization. The purpose of this article is to examine the performance of the step-up and top-down model building approaches for exploratory longitudinal data analysis.