A. James O'Malley

A. James O'Malley, PhD

Professor of The Dartmouth Institute, Professor of Biomedical Data Science, Dartmouth Geisel School of Medicine
The Dartmouth Institute Geisel School of Medicine at Dartmouth 35 Centerra Parkway Lebanon, NH 03766

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.”

Longitudinal Analysis of Large Social Networks: Estimating the Effect of Health Traits on Changes in Friendship Ties

Statistics in Medicine
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Defining Perioperative Mortality after Open and Endovascular Aortic Aneurysm Repair in the US Medicare Population
Authors: Schermerhorn ML, Giles KA, Sachs T, et al.
Journal of the American College of Surgeons
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A Bayesian Two-Part Latent Class Model for Longitudinal Medical Expenditure Data: Assessing the Impact of Mental Health and Substance Abuse Parity.
Authors: Neelon BH, O’Malley AJ and Normand S-LT
Biometrics
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Relationship between Quality of Care and Negligence Litigation in Nursing Homes
Authors: Studdert DM, Spittal MJ, Mello MM, et al.
New England Journal of Medicine
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Predictors of Nursing Home Residents' Time to Hospitalization
Authors: O’Malley AJ, Caudry DJ and Grabowski, DC
Health Services Research
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Thirty-Day Mortality and Late Survival with Reinterventions and Readmissions After Open and Endovascular Aortic Aneurysm Repair in Medicare Beneficiaries
Authors: Giles KA, Landon BE, Cotterill P, et al.
Journal of Vascular Surgery
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A Bayesian model for repeated measures zero-inflated count data with application to outpatient psychiatric service use.
Authors: Neelon B, O’Malley AJ and Normand S-LT
Statistical Modelling
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Bayesian Analysis Using Power Priors with Application
Authors: Neelon BH and O’Malley AJ
Journal of Biometrics and Biostatistics
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Volume Outcomes Relationships and Abdominal Aortic Aneurysm Repair.
Authors: Landon BE, O’Malley AJ, Giles K, et al.
Circulation
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Geographic area variations in the Medicare health plan era
Authors: Keenan PS, Cleary PD, O'Malley AJ, et al.
Medical Care
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