Methods and Applications of Cohort Studies
June 26-30, 2023
1:30 p.m. – 5:00 p.m.
Course Number: 340.706.49 (online)
340.706.11 (in person)
This is a hybrid course with both a synchronous online section (340.706.49) and an in-person section (340.706.11). You'll be able to indicate which section you want (either in-person or online) when registering in SIS.
General methods will be taught and applied to cohort studies of chronic and infectious disease, including HIV, COVID-19, cardiovascular disease and cancer. Topics include: definition, design and basic characteristics of cohort studies; conceptual underpinnings of survival analysis; methods for the analysis of survival data including modelling and testing of relative hazards (Cox regression), and relative incidence (Poisson and negative binomial regression); methods to nest case-control and case-cohort designs in cohort studies; risk prediction (AUC and NRI) and a discussion of key challenges in the conduct and analysis of modern cohort studies.
Methods of Assessment:
1) Participation 10%
2) Quizzes 90%
Upon successfully completing this course, students will be able to: 1. Describe the principles for the design and conduct of cohort studies; 2. Estimate and compare incidence rates, and times-to-event via relative hazards and relative times; 3. Apply analytic methods to data from large, long-term and multicenter cohort studies coordinated by the instructors’ research team; 4. Appreciate the role of cohort studies for the characterization of natural history of diseases; for evaluation of interventions and for guiding public policy
Prerequisite: Intermediate-level courses in both epidemiology and biostatistics and some familiarity with data analysis software packages.
Grading Options: Letter Grade or Pass/Fail
Special Comments: Students who have successfully completed 340.728: Methods and Applications of Cohort Studies should not enroll in this course
Course Materials: Provided in class and through CoursePlus