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Advanced Analytic Methods for Bias in Epidemiologic Studies

Course Number
5400 (Epidemiology)
Course Instructor(s)
Laura C. Rosella

Course Description

The modern epidemiologists’ toolkit must contain innovative and current methods to address the complexity of both the data and questions that we currently face. The focus of this course is to teach selected topics advanced in epidemiologic methods to address bias. Distinct from a biostatistics course, the course will focus on both design and analytic considerations and include practical applications of the methods using statistical software. In an effort to stay up‐to‐date, the specific content will be revised based on emerging techniques relevant for addressing bias in epidemiologic studies. Overall the course will cover the following domains: propensity methods, inverse probability of treatment weights and quantitative bias analysis.

Course Objectives

  1. Gain an understanding of the methods and principles behind propensity methods, inverse probability of treatment weights, and quantitative bias analysis and learn why and when these methods should be used;
  2. Learn how to apply and interpret these methods using data and software;
  3. Be able to critically interpret and assess research studies that apply these approaches.

Methods of Assessment

Analytic Assignments x3 25% each
Oral presentation (critical reading exercise) 15%
Reflexive Assignment 10%

General Requirements

This course is open to graduate students at DLSPH (PHS or IHPME) who have successfully completed at least 2 graduate-level epidemiology courses AND at least 2 graduate-level biostatistics courses, or by permission of the instructor.