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Advanced Methods for Design and Analysis of Cohort Studies

East Baltimore
1st term
5 credits
Academic Year:
2022 - 2023
Instruction Method:
Class Times:
  • Tu Th,  1:30 - 3:20pm
Lab Times:
  • Monday,  1:30 - 2:20pm
Auditors Allowed:
Undergrads Allowed:
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructors:
Derek Ng

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:

  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% Final Project
  • 25% Lab Assignments

Instructor Consent:

No consent required

Special Comments:

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