Sebastien Haneuse, PhD, is Associate Professor of Biostatistics at the Harvard T.H. Chan School of Public Health. He trained at the University of Washington, and has held faculty positions at Vanderbilt University (Nashville, TN) and Kaiser Permanente Washington Health Research Institute (Seattle, WA). Dr. Haneuse’s statistical research focuses on has been the analysis of large, complex observational datasets, specifically in three major threads: (i) the use of design-based approaches to mitigate data limitations when resources are constrained; (ii) the formulation of approaches to address selection bias that arises in electronic health records (EHR)-based studies of comparative effectiveness due to the fact that EHR data are generally collected for clinical and/or billing purposes, and not explicitly for research; and (iii) the development of novel models and statistical methods for the analysis of semi-competing risks data, as specific form of data that has received little attention and yet has substantial promise in informing clinical and public health. From a clinical and public health research perspective, he has successfully collaborated in a broad range of scientific domains, with first and co-authored papers in: breast cancer screening, Alzheimer’s’ disease and dementia, HIV/AIDS, bariatric surgery, diabetes, childhood and adult obesity, LGBQT health, and hospital profiling. Sebastian is an investigator on the Methods Unit Team and is leading a missing data EHR analysis.
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