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Experts
Jean Opsomer
Vice President & Director, Statistics & Data Science; Statistical Fellows Committee Co-Chair
Overview
Jean Opsomer, PhD, is a Vice President and promoted to Director for Statistics and Data Science in 2024. He is a senior statistician with 3 decades of experience applying statistical methods to answer research questions. He joined 趣赢平台 in 2018 as a Vice President and has worked on a variety of projects across the company, including the Population Assessment of Tobacco and Health Study (PATH Study) and the Survey of Doctorate Recipients; health-related projects, such as the National SARS-CoV-2 Seroprevalence Studies in Blood Donors; and human services–related projects, including an outcome evaluation study of Healthy Start grantees.
Opsomer is also an Adjunct Professor in the Department of Mathematics at the University of Maryland, College Park. He has served on multiple panels of the National Academies of Sciences, Engineering, and Medicine and is a current member of the Statistics Canada Advisory Committee on Statistical Methods. He is Associate Editor for Survey Methodology and for Statistical Science.
Previously, Opsomer was a faculty member in the Departments of Statistics at Colorado State University and Iowa State University. The author or coauthor of more than 90 peer-reviewed articles, he has developed statistical methods for calibration in surveys, model building, variable selection, and evaluation. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics and an Elected Member of the International Statistical Institute. He is the recipient of the Carver Medal of the Institute of Mathematical Statistics and the Founders Award of the American Statistical Association.
In recognition of his contributions to the field, Opsomer has been named a 趣赢平台 Senior Statistical Fellow and co-chairs the Statistical Fellows Committee, which provides consultation on important survey statistics issues and addresses recent advances in applied statistics.
Education
- PhD, Operations Research , Cornell University
- MBA, Finance, University of Chicago
- MS, Management Engineering, Katholieke Universiteit Leuven, Belgium
Areas of Expertise
Statistical Methods Survey Design Survey Methods Survey StatisticsTopics
Complex Surveys-
Statistical data integration using multilevel models to predict employee compensation
51,
Canadian Journal of Statistics
January 2023
A.L. Erciulescu, Jean Opsomer, B.J. Schneider
DOILink for: Statistical data integration using multilevel models to predict employee compensation -
Associations between ABO non-identical platelet transfusions and patient outcomes-A multicenter retrospective analysis
Transfusion
January 2023
D.W. Bougie, S.E. Reese, R.J. Birch, Deborah Bookwalter, P.K.1713457 Mitchell, D. Roh, L.B. Kreuziger, et al.
DOILink for: Associations between ABO non-identical platelet transfusions and patient outcomes-A multicenter retrospective analysis -
Clinical and economic assessment in early-stage dementia by severity and amyloid-B status: A 5-year retrospective claims study of GERAS-US patients
91,
Journal of Alzheimer's Disease
January 2023
J. Chandler, J. Kubisiak
DOILink for: Clinical and economic assessment in early-stage dementia by severity and amyloid-B status: A 5-year retrospective claims study of GERAS-US patients