A. James O'Malley, PhD
A. James O'Malley, PhD, is a Professor of The Dartmouth Institute and Professor of Biomedical Data Science at the Dartmouth Geisel School of Medicine. His methodological research interests have centered on the design and analysis of medical device clinical trials, multivariate-hierarchical modeling, causal inference and social network analysis. Dr. O'Malley has developed novel statistical methods, often involving novel use of Bayesian statistics, to solve important methodological and applied problems in health policy and health services research, including the evaluation of treatments and quality of care in multiple areas of medicine. He continues to look at problems from multiple lenses including statistical, health policy, medical, epidemiological, and sociological perspectives. For future research, Dr. O'Malley expects to continue working on methodological problems in causal inference (comparative effectiveness research), hierarchical-multivariate modeling, social network analysis, and Bayesian analysis with specific problems often at the intersection of two or more of these areas.
2011 Mid-Career Excellence Award, American Statistical Association Health Policy Statistics Section
2012 Elected Fellow, American Statistical Association for “novel use of Bayesian statistics, multivariate-hierarchical modeling, causal inference and social network analysis to solve problems in health policy and health services research, for improving evaluation of treatments and quality of health care, and for leadership in health policy statistics.”
BMJ Open
New England Journal of Medicine
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Journal of Vascular Surgery
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New England Journal of Medicine
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Journal of the Royal Statistical Society, Series C (Applied Statistics)
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Journal of the American College of Surgeons
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Psychiatric Services
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European Urology
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