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140.666.11
The Use of Causal Diagrams in Epidemiology

Location
East Baltimore
Term
Summer Institute
Department
Biostatistics
Credit(s)
1
Academic Year
2012 - 2013
Instruction Method
TBD
Start Date
Monday, June 25, 2012
End Date
Monday, June 25, 2012
Class Time(s)
Monday, 8:30am - 5:00pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Pass/Fail
Contact Name
Frequency Schedule
Every Year
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