Longitudinal and Finite Nonlinear Mixture Modelling and Associated Experimental Design Strategies (advanced level), 5 cr

This course explores methods for the analysis of longitudinal data and latent variable methods for linear models, generalized linear models, and nonlinear models. Focusing on applications, this course explores the analysis of repeated measures ANOVA, multivariate approaches, random-effects regression, covariance-pattern models, generalized-estimating equations and generalizations, latent variable methods including finite mixture modelling, and likelihood methods. Students will develop expertise using the SAS and R computer packages; although no previous programming experience will be assumed. Grading is based on two homework and three exams.