340.706.11 METHODS AND APPLICATIONS OF COHORT STUDIES
- Alvaro Munoz
- Christopher Cox
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.
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
- 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
Intermediate-level courses in both epidemiology and biostatistics and some familiarity with data analysis software packages.