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140.666.11 THE USE OF CAUSAL DIAGRAMS IN EPIDEMIOLOGY

Department:
Biostatistics
Term:
Summer Inst. term
Credits:
1 credit
Academic Year:
2012 - 2013
Location:
East Baltimore
Dates:
Mon 06/25/2012 - Mon 06/25/2012
Class Times:
  • Monday,  8:30am - 5:00pm
Auditors Allowed:
No
Grading Restriction:
Pass/Fail
Contact:
Mary Argo

Course Evaluation

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Prerequisite:

Previous courses in introductory statistical methods.

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 Objectives:

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

  1. To represent the key features of causal inference problems using causal diagrams
  2. to identify settings in which biases can arise
Methods of Assessment:

Method of student evaluation based on problem sets

Instructor Consent:

No consent required