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BST 553 Longitudinal Data Analysis 3.0 Credits

Longitudinal data measure characteristics on the experimental units repeatedly over time. It is an essential design to study temporal change and to establish causal relationships. The analysis of longitudinal data requires sophisticated methodologies due to the correlation introduced by repeated measurements. This course covers modern statistical techniques for longitudinal data from an applied perspective.

College/Department: Dornsife School of Public Health
Repeat Status: Not repeatable for credit
Prerequisites: BST 560 [Min Grade: B] or (BST 570 [Min Grade: B] or BST 870 [Min Grade: B])