Associating with DAGs can be beneficial: A tour through counterfactuals, causal graphs, challenges and opportunities

Wednesday, 23 May 2012
09:30 to 10:30
Murdoch Childrens Research Institute (MCRI), Royal Childrens Hospital
Flemington Road

In the past 15 years there has been an explosion of analytical methodological development based on counterfactuals (potential outcomes) and utilisation of causal diagrams to understand and inform non-randomised comparisons in epidemiology and related areas.

These largely stem from the seminal works of Rubin (1974) regarding potential outcomes, of Pearl (2000) for causal diagrams, and Robins (1986) for repeated exposures over time. In this talk I will provide an outline of the key aspects of these approaches and the correspondence between them, and will illustrate select features using applications from personal experience and the literature.

Challenges associated with implementation will be discussed together with opportunities for further work in this rapidly expanding area.

Professor Andrew Forbes

Prof. Andrew Forbes

Management Team
Department of Epidemiology and Preventive Medicine
Monash University

Andrew is the current Head of the Biostatistics Unit in the Department of Epidemiology and Preventive Medicine at Monash University.

Since completing a PhD in Statistics at Cornell University (USA) he has been actively engaged in collaborative epidemiological and clinical research projects. His research interests are methods for comparative effectiveness research, assessment of the effects of time dependent exposures, interrupted time series designs and methodology in clinical trials.

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