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Course Catalog

340.706.11 METHODS AND APPLICATIONS OF COHORT STUDIES

Department:
Epidemiology
Term:
Summer Inst. term
Credits:
2 credits
Academic Year:
2013 - 2014
Location:
East Baltimore
Dates:
Mon 06/24/2013 - Fri 06/28/2013
Class Times:
  • M Tu W Th,  1:30 - 5:00pm

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Auditors Allowed:
No
Grading Restriction:
Letter Grade or Pass/Fail
Contact:
Ayesha Khan
Course Instructors:
Prerequisite:

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

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 Objectives:

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
Methods of Assessment:

quizzes and final exam

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