Course Director: Dr. Tracy Onega & Dr. Erika Moen
- Course description: This course will develop student analytic competencies to the level necessary to conceptualize, plan, carry out, and effectively communicate small research projects in patient care, epidemiology, or health services. Lectures, demonstrations, and labs will be used to integrate and extend methods introduced in other TDI courses. The course will also cover new methods in epidemiology, health services and data science. The students will use national publicly available data and synthetic research datasets resembling Medicare claims and electronic health record data in classroom lab exercises and course assignments. Course topics focus on key aspects observational research including cohort derivation, multilevel analyses, small area analysis, and network analysis. Practical skill areas will include programming in STATA and/or R, developing an analytic workflow, data visualization (designing tables and figures), and data structure and management. Emphasis is on becoming independent in research processes. The instructors will mentor students as they develop their own analytic projects.
- Coursework: QBS 130: Epidemiology I, QBS 120: Biostatistics I, & QBS 121: Biostatistics II.
- Programming: Intermediate proficiency in R.