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Rebecca A. Hubbard, PhD

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Rebecca A. Hubbard, PhD

Associate Professor of Biostatistics

Dr. Hubbard’s research focuses on the development and application of methods to improve analyses using real world data sources including electronic health records (EHR) and claims data. The data science era demands novel analytic methods to transform the wealth of data created as a byproduct of our digital interactions into valid and generalizable knowledge. Dr. Hubbard’s research emphasizes statistical methods designed to meet this challenge by addressing the messiness and complexity of real world data including informative observation schemes, phenotyping error, and error and missingness in confounders. Her methods have been applied to support the advancement of a broad range of research areas through use of EHR and claims data including health services research, cancer epidemiology, aging and dementia, and pharmacoepidemiology.

Read more about the work of Dr. Hubbard's research group.

Content Area Specialties

Cancer epidemiology, pharmacoepidemiology, health services research, aging and dementia

Methodology Specialties

Bayesian biostatistics, outcome misclassification, measurement error, missing data, multi-state models

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To understand health and disease today, we need new thinking and novel science —the kind  we create when multiple disciplines work together from the ground up. That is why this department has put forward a bold vision in population-health science: a single academic home for biostatistics, epidemiology and informatics. MORE

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