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Course Catalog

340.709.11 ADVANCED METHODS IN OBSERVATIONAL STUDIES: INFERENCE

Department:
Epidemiology
Term:
Summer Inst. term
Credits:
2 credits
Academic Year:
2014 - 2015
Location:
East Baltimore
Dates:
Mon 06/23/2014 - Fri 06/27/2014
Class Times:
  • M Tu W Th F,  8:30am - 12:00pm
Auditors Allowed:
No
Grading Restriction:
Letter Grade or Pass/Fail
Contact:
Ayesha Khan
Course Instructors:

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Prerequisite:

340.708

Description:

Expands beyond introductory level epidemiologic concepts and methods material. Using examples from the published literature, emphasizes inference, evaluation interpretation and the ability to critically evaluate issues related to comparison of populations and synthesizing inferences from observational studies including: descriptive and analytical goals for observational study inference; the counterfactual model for defining exchangeability, cause, and confounding; graphical and analytical tools for assessing causal pathways and investigating their underlying assumptions, including comparing classical and modern approaches for assessing and addressing confounding and mediation.

Learning Objectives:

Upon successfully completing this course, students will be able to:

  1. Utilize and illustrate a framework for distinguishing different inferential goals of an epidemiological study
  2. Define concepts and terminology in causal inference for epidemiology and develop graphical approaches (e.g., DAGs) for models that integrate confounding and mediation effects
  3. Illustrate, interpret, and contrast ‘classical’ (e.g., regression) approaches for addressing confounding with modern techniques (e.g., propensity-score and inverse-weighting methods)
  4. Identify and evaluate approaches for implementing a basic sensitivity analysis
Methods of Assessment:

4 brief quizzes, each of which consist of both an in-class and a take home portion. Each quiz is worth 25%

Enrollment Restriction:

Students who have taken 340.608 may not take this course

Instructor Consent:

No consent required