Skip Navigation

Course Catalog

140.666.11 THE USE OF CAUSAL DIAGRAMS IN EPIDEMIOLOGY

Department: Biostatistics
Term: Summer Inst. term
Credits: 1 credits
Contact: Mary Argo
Academic Year: 2012 - 2013
Description:

Provides a non-technical overview of causal DAGs theory, its relation to counterfactual theory, and its applications to causal inference. Describe how causal DAGs can be used to propose a systematic classification of biases in observational and randomized studies. Presents practical applications of causal DAGs theory to examples taken from various research areas in epidemiology, including cancer, pregnancy outcomes, and HIV/AIDS. Also describes the bias induced by the use of conventional statistical methods for the analysis of longitudinal studies with time-varying exposures.

Learning Objective(s):
Upon successfully completing this course, students will be able to:
To represent the key features of causal inference problems using causal diagrams
to identify settings in which biases can arise

Methods of Assessment: Method of student evaluation based on problem sets
Location: East Baltimore
Class Times:
  • Mon 06/25/2012 - Mon 06/25/2012
  • Monday 8:30 - 5:00
Enrollment Minimum: 10
Instructor Consent: No consent required
Prerequisite:

Previous courses in introductory statistical methods.

Auditors Allowed: No
Grading Restriction: Pass/Fail