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Graduate Summer Institute of Epidemiology and Biostatistics

Methods and Applications of Cohort Studies

June 27 - July 1, 2016
8:30 a.m. – 12:00 p.m.
2 credits

Course Number: 340.706.11

Course Instructors:


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

Learning Objective:

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

Location: Baltimore

Prerequisite: Intermediate-level courses in both epidemiology and biostatistics and some familiarity with data analysis software packages.

Auditors Allowed: No

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