Atlantic Causal Inference Conference ( ACIC )

In our data-­‐rich world, key medical decisions, ranging from a regulator's decision to curtail a drug to patient-­‐specific treatment choices require optimal consideration of myriad inputs. Statistical/epidemiological methods that can harness real-­‐world medical data in useful ways do exist, but much work remains to achieve the full potential of a truly data-­‐driven medical environment. Key challenges ahead include scaleable causal inference and high-­‐ fidelity predictive models. I will describe some recent progress in the specific area of drug safety. 2012 ATLANTIC CAUSAL INFERENCE CONFERENCE POSTER SESSION Poster abstracts on the following pages are ordered alphabetically by last/second name of the first author, or presenting author where this differed. Thomas R. Ten Have Award Junior researchers presenting a poster as first author at the 2012 Atlantic Causal Inference Conference were invited to be considered for the Thomas R. Ten Have Award. This award recognizes “exceptionally creative or skillful research on causal inference.” Awardees will be announced at the end of the poster session and will be honored next year with an invited talk at the 2013 Atlantic Causal Inference Conference. Travel funds to attend the 2013 conference will also be offered if available. The 2012 Atlantic Causal Inference Conference organizing committee would like to thank the Thomas R. Ten Have Award committee: Karen Bandeen-Roche Jay Kaufman Susan Murphy Romain Neugebauer Dylan Small Cory Zigler 1 Causal inference in case-noncase studies: a Rubin causal model approach Nikola Andric and Donald B. Rubin Department of Statistics, Harvard University TEN HAVE AWARD CANDIDATE