James O'Malley, MS, PhD
Professor of The Dartmouth Institute
Professor of Biomedical Data Science
Adjunct Professor of Computer Science
Adjunct Professor of Mathematics
The Dartmouth Institute
Biomedical Data Science
1994 B.Sc. (Hons) in Statistics: University of Canterbury, New Zealand
1999 M.S. in Applied Statistics: Purdue University, West Lafayette, Indiana
1999 Ph.D. in Statistics: University of Canterbury, New Zealand
2001 Postdoctoral-fellowship in Biostatistics: Harvard Medical School, Boston, Massachusetts
Norris Cotton Cancer Center
Quantitative Biomedical Sciences
The Dartmouth Institute for Health Policy and Clinical Practice
The Dartmouth Institute
Williamson Translational Research Building
1 Medical Center Drive
Lebanon NH 03756
My research interests span both statistical methodology and various areas of medicine and health care. My prior and ongoing contributions to statistical methodology involve statistical inference for social networks, multivariate hierarchical models, comparative effectiveness research including causal inference for both randomized and observational studies, and Bayesian analysis. Specific research projects are typically motivated by problems encountered in my collaborative work with physicians, sociologists, health economists, health services researchers, epidemiologists and others. Application areas of focus include evaluating the relationship between health and social networks, evaluation/estimation of variations in health quality and outcomes, vascular surgery and cardiology, and evaluation of medical devices.
Rotations and Thesis Projects:
- Analysis of Social Network Data
- Multivariate-Multilevel Models
- Comparative Effectiveness Research (Causal Inference)
- Bayesian Analysis
- Design and Analysis of Medical Device Clinical Trials
- Social networks and health
- The measurement and reporting of health care quality
- Diffusion of medical technology
- Tracking health systems
- Comparative effectiveness in vascular surgery
- Comparative effectiveness in cardiology
- Comparative effectiveness in mental health
Projects currently leading or in a leading role:
NIH/NIA P01AG019783 (Skinner PI) 07/01/2001-11/30/2023
Causes and Consequences of Healthcare Efficiency
PI: Statistical and Network Analysis Core
AHRQ U19HS024075 (Fisher PI) 09/01/2015-08/31/2021
Accelerating the Use of Evidence-Based Innovations in Healthcare Systems
PI: Data Core
NIH P20GM130454 (Whitfield PI)
8/1/2019 - 7/30/2024
Center for Quantitative Biology: A focus on "omics", from organisms to single cells (COBRE)
PI: Data Core
IHS-2018C2-12902-IC (Leyenaar PI)
7/1/2019 - 6/30/2023
Comparative Effectiveness of Direct Admission & Admission through Emergency Departments for Children
NIH RO1 HS025408 (Landon PI)
9/30/2017 - 7/31/2021
Identifying Predictors of Hospital Admission from the ED Among the Elderly
PCS-2017C2-7724-IC (Pratt PI)
2/15/2019 - 2/14/2024
Integrated Physical and Mental Health Self¬-management Compared to Chronic Disease Self-¬management
Notable completed projects:
PCORI ME-1503-28261 (O’Malley PI)
Advancing Patient-Centered Outcomes Research in Survival Data with Unmeasured Confounding to Improve Patient Risk Communication
NIH 1U01 AG046830 (Skinner PI)
Diffusion of Medical Technology and Effects on Outcomes and Expenditures
Project Leader: Methods for Modeling the Diffusion of Implantable Cardiac Defibrillators
NIH 1R01HL109263-01A1 (O’Malley, Subramanian PIs) 04/01/2012-03/31/2015
Proximity to Food Establishments and BMI in the Framingham Heart Study
NIH 1RC4MH092717-01 (O’Malley PI)
Accounting for confounding bias and heterogeneity in comparative effectiveness
NIH/NIA P01 AG0309301 (Christakis PI),
Networks and Neighborhoods
Project Leader: Methods for the Analysis of Longitudinal Social Network Data
2018- Biostatistics III: Statistical Analysis of Complex Data (QBS 122)
2014-2018 The Practice of Statistics in Medicine (ECS.245.1-TFA13)
2013-2014 Advanced Statistical Methods (ECS.245.1-TFA13)
In 2011 I received the Mid-career Excellence award from the Health Policy Section of the ASA and in 2012 became an elected fellow of the ASA. In 2019 I was the recipient of the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) Award for Excellence in Methodology in Health Economics and Outcomes Research.
I was chair of the Health Policy Statistics Section of the America Statistical Association (ASA) in 2008, co-chair of the 2011 International Conference on Health Policy Statistics, and am an Associate Editor at Statistics in Medicine.
I was one of the organizers of the Dartmouth Interdisciplinary Network Research (DINR) seminar series (http://www.dartmouth.edu/~dinr/).
2015-2018 Erika Moen, R25 Postdoctoral Fellow, Geisel School of Medicine at Dartmouth
2015-2017 Weston Viles, R25 Postdoctoral Fellow, Geisel School of Medicine at Dartmouth
2016-2018 Pablo Martinez-Camblor, Postdoctoral Fellow, Geisel School of Medicine at Dartmouth
2017- Guanqing Chen, Ph.D. Candidate, Program in Quantitative Biomedical Science
2017- Carly Bobak (Co-advisor), Program in Quantitative Biomedical Science
2017 - Chuankai An (Co-advisor), Computer Science
2018- Xin Ran, Program in Quantitative Biomedical Science
2014-2017 Elizabeth Nichols, Program in Health Policy and Clinical Practice
2018-2020 Helen Newton, Program in Health Policy and Clinical Practice
2019- Renata West Yen, Program in Health Policy and Clinical Practice
2020- Reed Bratches, Program in Health Policy and Clinical Practice
2020- Catherine Pollack, Program in Quantitative Biomedical Science
2020- Joshua Levy, Program in Quantitative Biomedical Science
2020- Devin Parker, Program in Health Policy and Clinical Practice
Association of Adoption of Transcarotid Artery Revascularization With Center-Level Perioperative Outcomes.
A Novel Cluster Sampling Design that Couples Multiple Surveys to Support Multiple Inferential Objectives.
Variation In Emergency Department Admission Rates Among Medicare Patients: Does The Physician Matter?
Assessment of Racial Disparities in Primary Care Physician Specialty Referrals.
Hospital-based health systems 20 years later: A taxonomy for policy research and analysis.
Do collaboRATE Scores Reflect Differences in Perceived Shared Decision-Making Across Diverse Patient Populations? Evidence From a Large-Scale Patient Experience Survey in the United States.
Measuring Patient-Reported Shared Decision-Making to Promote Performance Transparency and Value-Based Payment: Assessment of collaboRATE's Group-Level Reliability.
Comparative effectiveness of direct admission and admission through emergency departments for children: a randomized stepped wedge study protocol.
What matters most: Randomized controlled trial of breast cancer surgery conversation aids across socioeconomic strata.
The impact of sampling patients on measuring physician patient-sharing networks using Medicare data.