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. In 2021 I received the Peggy Y. Thomson Professorship in the Evaluative Clinical Sciences
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/).
2007-2009 Brian Neelon, Postdoctoral Fellow, Harvard Medical School
2010-2012 Sudeshna Paul, Postdoctoral Fellow, Harvard Medical School
2011-2014 Jaeun Choi, Postdoctoral Fellow, Harvard Medical School
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
2018-2020 Seho Park, Postdoctoral Fellow, Geisel School of Medicine at Dartmouth
2021-2022 Carly Bobak, Postdoctoral Fellow, Geisel School of Medicine at Dartmouth
2017-2021 Guanqing Chen, Ph.D. Candidate, Program in Quantitative Biomedical Science
2017-2021 Carly Bobak (Co-advisor), Program in Quantitative Biomedical Science
2017-2019 Chuankai An (Co-advisor), Computer Science
2018- Xin Ran, Program in Quantitative Biomedical Science
2022- Bo Qin, Program in Quantitative Biomedical Science
2022- Haobin (Tony) Chen, 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
2020-2022 Reed Bratches, Program in Health Policy and Clinical Practice
2020-2022 Catherine Pollack, Program in Quantitative Biomedical Science
2020-2021 Joshua Levy, Program in Quantitative Biomedical Science
2022- Sarah Cornelius, Program in Quantitative Biomedical Science
2022- Bruno Scodari, Program in Quantitative Biomedical Science
Telehealth Use Following COVID-19 Within Patient-Sharing Physician Networks at a Rural Comprehensive Cancer Center: Cross-sectional Analysis.
Characterizing the Prevalence of Obesity Misinformation, Factual Content, Stigma, and Positivity on the Social Media Platform Reddit Between 2011 and 2019: Infodemiology Study.
Use of a Novel Network-Based Linchpin Score to Characterize Accessibility to the Oncology Physician Workforce in the United States.
Social network correlates of free and purchased insecticide-treated bed nets in rural Uganda.
Discussion on "Instrumental variable estimation of the causal hazard ratio" by Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, and Stijn Vansteelandt.
Procedural Safety Comparison Between Transcarotid Artery Revascularization, Carotid Endarterectomy, and Carotid Stenting: Perioperative and 1-Year Rates of Stroke or Death.
Association of Rurality, Race and Ethnicity, and Socioeconomic Status With the Surgical Management of Colon Cancer and Postoperative Outcomes Among Medicare Beneficiaries.
Machine Learning Approaches for Hospital Acquired Pressure Injuries: A Retrospective Study of Electronic Medical Records.
Using a mixed-effect model with a parameter-space of heterogenous dimension to evaluate whether accountable care organizations are associated with greater uniformity across constituent practices.
Sacubitril/valsartan vs ACEi/ARB at hospital discharge and 5-year survival in older patients with heart failure with reduced ejection fraction: A decision analysis approach.