Methods and Applications of Cohort Studies
June 19 - 23, 2017
1:30 p.m. – 5:00 p.m.
Course Number: 340.706.11
Topics to be discussed include: definition, design and basic characteristics of interval and clinical cohort studies; conceptual underpinnings of survival analysis; use of discrete-time and continuous-time survival analysis; methods for the analysis of survival data including modelling and testing of relative hazards (Cox regression), relative times (parametric regression), and relative incidence (Poisson and negative binomial regression); methods to nest case-control and case-cohort designs in cohort studies; and a discussion of key challenges in the conduct and analysis of modern cohort studies.
Student Evaluation: 3 labs completed in class and handed in for grading
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