James O'Malley, MS, PhD
Title(s):
Professor of The Dartmouth Institute
Professor of Biomedical Data Science
Additional Titles/Positions/Affiliations:
Professor of Biomedical Data Science
Department(s):
The Dartmouth Institute
Biomedical Data Science
Education:
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
Programs:
Norris Cotton Cancer Center
Quantitative Biomedical Sciences
SYNERGY
The Dartmouth Institute for Health Policy and Clinical Practice
Websites:
http:
https:
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Contact Information:
The Dartmouth Institute
Williamson Translational Research Building
1 Medical Center Drive
Lebanon NH 03756
Office: 544
Phone: 603-653-0854
Fax: 603-653-0896
Email: James.OMalley@Dartmouth.edu
Assistant: Joel R. King
Asst. Phone: 603-653-3504
Asst. Email: Joel.R.King@dartmouth.edu
Professional Interests:
My research interests span both statistical methodology and various areas of medicine and health care. My prior and ongoing contributions to statistical methodology involve Bayesian statistics, statistical inference for social networks, multivariate hierarchical models, and comparative effectiveness research including causal inference for both randomized and observational studies. 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:
Statistical Methods:
- Analysis of Social Network Data
- Multivariate-Multilevel Models
- Comparative Effectiveness Research (Causal Inference)
- Bayesian Analysis
- Design and Analysis of Medical Device Clinical Trials
Collaborative Work:
- The measurement and reporting of health care quality
- Social networks and health
- Diffusion of medical technology
- Tracking health systems
- Comparative effectiveness in vascular surgery
- Comparative effectiveness in cardiology
- Comparative effectiveness in mental health
Grant Information:
Projects currently leading:
PCORI ME-1503-28261 (O’Malley PI) 01/01/2016-03/31/2019
Advancing Patient-Centered Outcomes Research in Survival Data with Unmeasured Confounding to Improve Patient Risk Communication
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) 09/01/2015-08/31/2020
Accelerating the Use of Evidence-Based Innovations in Healthcare Systems
PI: Data Core
Notable completed projects:
NIH 1U01 AG046830 (Skinner PI), 09/30/2013-06/30/2018
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), 10/01/2010-09/27/2013
Accounting for confounding bias and heterogeneity in comparative effectiveness
NIH/NIA P01 AG0309301 (Christakis PI), 04/15/2008-03/31/2013
Networks and Neighborhoods
Project Leader: Methods for the Analysis of Longitudinal Social Network Data
Courses Taught:
2018- Biostatistics III: Statistical Analysis of Complex Data (QBS 122)
2013-2014 Advanced Statistical Methods (ECS.245.1-TFA13)
2014-2018 The Practice of Statistics in Medicine (ECS.245.1-TFA13)
Biography:
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.
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/).
Mentoring Information:
Post-doctoral fellows
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
PhD Students
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
PhD Student Committees
2014-2017 Elizabeth Nichols, Ph.D. Candidate, Program in Health Policy and Clinical Practice
2018- Helen Newton, Ph.D. Candidate, Program in Health Policy and Clinical Practice
Selected Publications: |
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Landscape of Health Systems in the United States. Comparing Long-term Mortality After Carotid Endarterectomy vs Carotid Stenting Using a Novel Instrumental Variable Method for Risk Adjustment in Observational Time-to-Event Data. Adapting the Breast Cancer Surgery Decision Quality Instrument for Lower Socioeconomic Status: Improving Readability, Acceptability, and Relevance. Modeling a bivariate residential-workplace neighborhood effect when estimating the effect of proximity to fast-food establishments on body mass index. Evaluating Breast Cancer Care Coordination at a Rural National Cancer Institute Comprehensive Cancer Center Using Network Analysis and Geospatial Methods. Instrumental Variable Based Estimation Under the Semiparametric Accelerated Failure Time Model. Estimation of an inter-rater intra-class correlation coefficient that overcomes common assumption violations in the assessment of health measurement scales. Reporting of Baseline Characteristics to Accompany Analysis by Instrumental Variables. Egocentric social networks and smoking among adults with serious mental illness. Workshop on Emerging Technology and Data Analytics for Behavioral Health. |
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