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Advanced Methods for Design and Analysis of Cohort Studies

East Baltimore
1st Term
Academic Year
2023 - 2024
Instruction Method
Class Time(s)
Tu, Th, 1:30 - 3:20pm
Lab Times
Monday, 1:30 - 2:20pm (01)
Auditors Allowed
Available to Undergraduate
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year

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; regression methods for trajectories of biomarkers; methods for dealing with continuous biomarkers subject to limits of detection; methods for the analysis of interventions in observational studies: confounding by indication, marginal structural models for individual effectiveness; methods for dealing with competing risks and non-proportional hazards; methods to assess agreement and inform design of cohort studies; prediction of lifecourse and clinical outcomes from cohort studies.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Analyze a moderately complicated real life data set from a large, long-term multicenter cohort study using advanced methods discussed in the lectures
  2. 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% Group Project(s)
  • 25% Lab Assignments
Special Comments

Monday session is required attendance along with the Tuesday and Thursday class periods.