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.”

Nursing Home Capabilities and Decisions to Hospitalize: A Survey of Medical Directors and Directors of Nursing.
Authors: Buchanan JL, Murkofsky RL, O’Malley AJ et al
Journal of the American Geriatrics Society
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Does Reimbursement Influence Chemotherapy Treatment for Cancer Patients?
Authors: Jacobson M, O’Malley AJ, Earle CC et al
Health Affairs
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Bayesian Multivariate Hierarchical Transformation Models for ROC Analysis.
Authors: O’Malley AJ, Zou KH
Statistics in Medicine
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Exploratory factor analyses of the CAHPSc hospital pilot survey responses across and within medical, surgical and obstetric services
Authors: O’Malley AJ, Zaslavsky AM, Hays RD, et al.
Health Services Research
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Case-mix adjustment of the CAHPSc hospital survey responses
Authors: O’Malley AJ, Zaslavsky AM, Elliott MN, et al.
Health Services Research
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Variance-Covariance Functions for Domain Means of Ordinal Survey Items

Survey Methodology
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Methods used to streamline the CAHPS hospital survey
Authors: Keller S, O’Malley AJ, Hays RD, et al.
Health Services Research
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Arterial Revascularization Therapies Study Part II - Sirolimus-Eluting Stents for the Treatment of Patients with Multivessel De Novo Coronary Artery Lesions
Authors: Serruys PW, Ong ATL, Morice M-C, et al.
EuroIntervention
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A Bayesian hierarchical non-linear regression model in receiver operating characteristic analysis of clustered continuous diagnostic data
Authors: Zou KH and O’Malley AJ
Biometrical Journal
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Improving traditional intention-to-treat analyses: A new approach
Authors: Horvitz-Lennon M, O’Malley AJ, Frank RG, et al.
Psychological Medicine
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