Erika L Moen, MS, PhD
Assistant Professor of Biomedical Data Science
Assistant Professor of The Dartmouth Institute
Biomedical Data Science
The Dartmouth Institute
University of Chicago, Ph.D., 2014
University of Chicago, M.S., 2014
Brown University, B.A., 2009
Dartmouth Cancer Center
Quantitative Biomedical Sciences
Google scholar page:
One Medical Center Drive
Williamson Translational Research Building Level 3
Lebanon NH 03756
Office: 318 Williamson
Phone: (603) 646-5722
Dr. Moen is a health services researcher with expertise in network analysis, biostatistics, and cancer. She leads a multidisciplinary research team with funding from the NIH, seeking to leverage network analysis to optimize cancer care delivery and patient outcomes. She has developed novel network measures characterizing access to multidisciplinary cancer care that recognize the importance of relationships between providers. The long-term goal of Dr. Moen's lab is to improve equitable access to coordinated cancer care teams with a particular focus on rural-residing populations.
R37CA263936 NIH NCI
Title: Improving cancer health equity by targeting physician networks
P20GM104416 – Molecular Epidemiology COBRE (Karagas) (completed)
Role: Project leader
Title: The role of physician network properties in diffusion of a novel cancer technology
PH147/QBS 139: Advanced Methods in Health Services Research
Ph.D. Rotations. Students interested in rotating in the Moen Lab are encouraged to contact Erika.
Characterizing the Traveling Oncology Workforce and Its Influence on Patient Travel Burden: A Claims-Based Approach.
Rural-urban disparities in health care delivery for children with medical complexity and moderating effects of payer, disability, and community poverty.
Comparison of US Oncologist Rurality by Practice Setting and Patients Served.
Association between a network-based physician linchpin score and cancer patient mortality: a SEER-Medicare analysis.
Broadband Data Forensics: Spatiotemporal Variations of the Download/Upload Speed Metric Commonly Used to Evaluate Potential Telehealth Accessibility.
Dissecting patterns and predictors of interhospital transfers for patients with brain metastasis.
Telehealth Use Following COVID-19 Within Patient-Sharing Physician Networks at a Rural Comprehensive Cancer Center: Cross-sectional Analysis.
Use of a Novel Network-Based Linchpin Score to Characterize Accessibility to the Oncology Physician Workforce in the United States.
Using passive sensor data to probe associations of social structure with changes in personality: A synthesis of network analysis and machine learning.
The interaction of rurality and rare cancers for travel time to cancer care.