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Sara Geneletti is an Associate Professor in the Department of Statistics at the London School of Economics and Political Science (LSE). She serves as the Programme Director for the MSc in Health Data Science. Her research focuses on causal inference, a pivotal area in statistical methodology that aims to identify and estimate the effects of interventions. As a co-investigator on a Medical Research Council project, Sara employs regression discontinuity design to estimate the effects of drugs in primary care using routinely collected medical data. Her work addresses various types of biases such as selection due to confounding and emphasizes the integration of data from multiple sources to enhance inference accuracy. This evidence synthesis is a core aspect of her research. Additionally, Sara's work adopts Bayesian methods within this framework, highlighting her commitment to innovative statistical practices.
Standard English requirement applies to most programs in Geography, Anthropology, Sociology, and Media.