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Course Catalog

340.706.11 METHODS AND APPLICATIONS OF COHORT STUDIES

Department: Epidemiology
Term: Summer Inst. term
Credits: 2 credits
Contact: Ayesha Khan
Academic Year: 2013 - 2014
Course Instructors:
Description:

Topics to be discussed in the course include: definition, design and basic characteristics of cohort studies; methods for the analysis of survival data including modeling and testing of relative hazards (Cox regression) and relative times (parametric regression); taxonomy of hazards functions for generalized gamma regression models; methods to nest case-control and case-cohort designs in cohort studies; random effects models for longitudinal data, including empirical Bayes estimates of random effects; methods for the joint analysis of longitudinal and survival data. Methods will be illustrated using data from cohort studies in which faculty have been directly involved.

Learning Objective(s):
Upon successfully completing this course, students will be able to:
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 large, long-term and multicenter cohort studies coordinated by the instructors’ research team
Appreciate the role of cohort studies for the characterization of natural history of diseases; for evaluation of interventions and for guiding public policy

Methods of Assessment: quizzes and final exam
Location: East Baltimore
Class Times:
  • Mon 06/24/2013 - Fri 06/28/2013
  • Monday 1:30 - 5:00
  • Tuesday 1:30 - 5:00
  • Wednesday 1:30 - 5:00
  • Thursday 1:30 - 5:00
Enrollment Minimum: 10
Instructor Consent: No consent required
Prerequisite:

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

Auditors Allowed: No
Grading Restriction: 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