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Jennifer Hill

Professor of Applied Statistics, Social Science, and Humanities Co-Director, Center for Practice and Research at the Intersection of Information, Society and Methodology (PRIISM) - New York University

Jennifer Hill works on development of methods that help us to answer the causal question that are so vital to policy research and scientific development. In particular she focuses on situations in which it is difficult or impossible to perform traditional randomized experiments, or when even seemingly pristine study designs are complicated by missing data…

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Jennifer Hill works on development of methods that help us to answer the causal question that are so vital to policy research and scientific development. In particular she focuses on situations in which it is difficult or impossible to perform traditional randomized experiments, or when even seemingly pristine study designs are complicated by missing data or hierarchically structured data. Most recently Hill has been pursuing two major strands of research. The first focuses on Bayesian nonparametric methods that allow for flexible estimation of causal models without the need for methods such as propensity score matching. The second line of work pursues strategies for exploring the impact of violations of typical assumptions in this work that require that all confounders have been measured. Hill has published in a variety of leading journals including Journal of the American Statistical Association, American Political Science Review, American Journal of Public Health, and Developmental Psychology.

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