This course is repeatable for up to 9 credits. Students will learn logistic regression, and relate results back to those found with stratified analyses. Doctoral students register for the ESHH section. This course examines Community-Based Participatory Research CBPR as a research paradigm to understand and address health disparities at the community level. Offered in Spring term in even years only. Real life examples will be used to explain the concept and application of these models by using continuous, binary and count data. The workload will be at least 9 hours per week including all activities classes, meetings, readings, coding, and analysis. Archived GR Schedules by Term.
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