Advanced Methods for Design and Analysis of Cohort Studies
2022 - 2023
Tu, Th, 1:30 - 3:20pm
Monday, 1:30 - 2:20pm (01)
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 ObjectivesUpon 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.