Edit Entry

A. James O'Malley, MS, PhD

Title(s):
Professor of The Dartmouth Institute
Professor of Biomedical Data Science
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://tdi.dartmouth.edu/faculty/a-james-omalley-phd
http://www.dartmouth.edu/~dinr/
http://iqbs.org/

Contact Information:

The Dartmouth Institute
35 Centerra Parkway
Lebanon NH 03766

Office: 3066
Phone: 603-653-0854
Fax: 603-653-0896
Email: Alistair.J.O'Malley@Dartmouth.edu

Assistant: Julie R. Doherty
Asst. Phone: 603-653-0815
Asst. Email: Julie.R.Doherty@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:

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 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

Notable completed projects:

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:

2013-2014 Advanced Statistical Methods (ECS.245.1-TFA13)
2014-2015 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 am one of the organizers of the Dartmouth Interdisciplinary Network Research (DINR) seminar series (http://www.dartmouth.edu/~dinr/).

Mentoring Information:

2014- Elizabeth Nichols, Ph.D. Candidate, Program in Health Policy and Clinical Practice
2015- Erika Moen, R25 Postdoctoral Fellow, Geisel School of Medicine at Dartmouth


Selected Publications:

 

  • O’Malley AJ, Elwert F, Rosenquist JN, Zaslavsky AM, Christakis NA Estimating peer effects in longitudinal dyadic data using instrumental variables. Biometrics, Published online: 29 APR 2014, DOI: 10.1111/biom.12172

  • O’Malley AJ, Paul S Using Retrospective Sampling to Estimate Models of Relationship Status in Large Longitudinal Social Networks. Computational Statistics and Data Analysis, 2014, http://dx.doi.org/10.1016/j.csda.2014.08.001

  • Paul S, O'Malley AJ Hierarchical longitudinal models of relationships in social networks. Journal of the Royal Statistical Society, Series C (Applied Statistics), 2013, 62 (5), 705-722.

  • O’Malley AJ, Zaslavsky AM Domain-Level Covariance Analysis for Multi-Level Survey Data with Structured Nonresponse. Journal of the American Statistical Association, 2008, 103, 1405-1418.

  • O’Malley AJ. Instrumental Variable Specifications and Assumptions for Longitudinal Analysis of Mental Health Cost Offsets. Health Services and Outcomes Research Methodology, 2012, 12, 254-272.

  • O’Malley AJ, Frank RG, Normand S-LT. Estimating Cost-Offsets of New Medications: Use of New Antipsychotics and Mental Health Costs for Schizophrenia. Statistics in Medicine, 2011, 30, 1971-1988.

  • Neelon B, O’Malley AJ, Normand S-LT. A Bayesian two-part latent class model for longitudinal medical expenditure data: Assessing the impact of mental health and substance abuse parity. Biometrics, 2011, 67, 280-289

  • O’Malley AJ, Cotterill P, Schermerhorn ML, Landon BE. Optimal Referral Strategies Involving Treatment Selection and Volume-Outcome Relationships for AAA Repair. Medical Care 2011, 49, 1126-1132

  • O’Malley AJ, Normand, S-LT. Likelihood methods for treatment noncompliance and subsequent nonresponse in clinical trials. Biometrics 2005, 61, 325-334.

  • MacKenzie TA, Tosteson T, Morden NE, Stukel TL, O’Malley AJ. Using Instrumental Variables to Estimate a Cox's Proportional Hazards Regression Subject to Additive Confounding. Health Services and Outcomes Research Methodology, 2014, 14, 1-2, 54-68.