340.706.11
Methods and Applications of Cohort Studies
Location
East Baltimore
Term
Summer Institute
Department
Epidemiology
Credit(s)
2
Academic Year
2013 - 2014
Instruction Method
TBD
Start Date
Monday, June 24, 2013
End Date
Friday, June 28, 2013
M, Tu, W, Th, 1:30 - 5:00pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
Intermediate-level courses in both epidemiology and biostatistics and some familiarity with data analysis software packages.
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:
- 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
Students who have successfully completed 340.728: Methods and Applications of Cohort Studies should not enroll in this course