This book presents, at a non-technical level, several approaches for the analysis of correlated data: mixed models for continuous and categorical outcomes, nonparametric methods for repeated measures and growth mixture models for heterogeneous trajectories over time.
Focusing on statistical methodologies, Ralitza Gueorguieva's dissertation explores models for repeated measures of multivariate responses. This scholarly work, produced at the University of Florida, aims to enhance accessibility to academic research. Available in digital format through the university's institutional repository, the dissertation's content remains unaltered, with only formatting adjustments made for improved readability and printing convenience.