340.728.01
Advanced Methods for Design and Analysis of Cohort Studies
Location
East Baltimore
Term
1st Term
Department
Epidemiology
Credit(s)
5
Academic Year
2022 - 2023
Instruction Method
In-person
Tu, Th, 1:30 - 3:20pm
Lab Times
Monday, 1:30 - 2:20pm (01)
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
340.753 and 140.623 or 653. Knowledge of statistical package.
Explores advanced methods useful for the design and analysis of cohort studies. Emphasizes methods for analyzing time-to-event data subject to staggered entries using advanced parametric and semi-parametric methods; analytical methods for incomplete observations in cohort studies; methods to measure effects of exposures on time-to-event using relative times and relative hazards; parametric survival analysis methods and taxonomy of hazard functions; coefficients of determination based on parametric models for survival data; regression methods for trajectories of biomarkers; methods for the analysis of interventions in observational studies: confounding by indication, marginal structural models for individual effectiveness; methods for estimating population effectiveness; and methods to jointly analyze longitudinal and survival data.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Analyze a moderately complicated real life data set from a large, long-term multicenter cohort study using advanced methods discussed in the lectures
- Write a scientific report with a “Methods” and a “Results” section of a publishable manuscript
Methods of Assessment
This course is evaluated as follows:
- 75% Final Project
- 25% Lab Assignments
Monday session is required attendance along with the Tuesday and Thursday class periods.