PBHL 453 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.
Repeat Status: Not repeatable for credit
Prerequisites: PBHL 211 [Min Grade: C] or STAT 202 [Min Grade: C] or MATH 411 [Min Grade: C] or HSCI 350 [Min Grade: C] or INFO 332 [Min Grade: C] or PBHL 335 [Min Grade: C]