Longitudinal Data Analysis and Mixed Modeling
This course focuses on repeated measures, longitudinal, hierarchical and mixed modeling data analysis with an eye to applications, model identification, software implementation, and interpretation of computer results.
Prerequisites: Graduate Students only.
Outcomes: Upon completion of this course, it is expected that students will master applied mixed-modelling methods (using R and/or SAS) with applications to real data-sets.
Prerequisites: Graduate Students only.
Outcomes: Upon completion of this course, it is expected that students will master applied mixed-modelling methods (using R and/or SAS) with applications to real data-sets.