140.666.11 The Use of Causal Diagrams in Epidemiology
- Summer Inst. term
- 1 credit
- Academic Year:
- 2012 - 2013
- East Baltimore
- Mon 06/25/2012 - Mon 06/25/2012
- Class Times:
- Monday, 8:30am - 5:00pm
Previous courses in introductory statistical methods.
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:
- 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
- Instructor Consent:
No consent required