Examine epidemiological concepts in health outcomes research and their use in evaluating the patterns, causes and effects of health in patient populations. Topics include study design; generalized linear models; internal and external validity; and methods to minimize bias, adjusting for confounding and measuring effect modification. Participants will learn to develop a testable hypothesis, build and refine analytic models and interpret results relevant to health outcomes.
This is not a self-paced course. Students will progress through the course together. Lessons will be posted one week at a time. The previous week's lesson will remain available for the duration of the course. Students who enroll after the start date of the course will have to contact the instructor regarding missed lessons.