140.666.11 THE USE OF CAUSAL DIAGRAMS IN EPIDEMIOLOGY
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.
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
- Mon 06/25/2012 - Mon 06/25/2012
- Monday 8:30 - 5:00
Previous courses in introductory statistical methods.