Methods and Applications of Cohort Studies
- East Baltimore
- Summer Inst. term
- 2 credits
- Academic Year:
- 2017 - 2018
- Mon 06/19/2017 - Fri 06/23/2017
- Class Times:
- M Tu W Th F, 1:30 - 5:00pm
Intermediate-level courses in both epidemiology and biostatistics and some familiarity with data analysis software packages.
Cohort studies are central to understanding the natural history of disease and making inferences about risk factors associations with disease. The course will cover the principles of rigorous cohort study design, analysis and critical evaluation. Mastery of the material will be enhanced by examples from leading cohort studies and laboratory exercises analyzing large cohort datasets.
Topics to be discussed 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.
- Learning Objectives:
- Describe the principles for the design and conduct of cohort studies
- Estimate and compare incidence rates, and times-to-event via relative hazards and relative times
- Apply analytic methods to data from major cohort studies
- Appreciate the role of cohort studies for the characterization of natural history of diseases; for understanding etiology, evaluation of interventions and for guiding public policy
- Methods of Assessment:
3 post lab quizzes, due the day after the lab is performed - each quiz 30%; 10% class participation
- Instructor Consent:
No consent required
- Special Comments:
Students who have successfully completed 340.728: Methods and Applications of Cohort Studies should not enroll in this course