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
Norris Cotton Cancer Center
Quantitative Biomedical Sciences
Google scholar page:
One Medical Center Drive
Williamson Translational Research Building Level 3
Lebanon NH 03756
Office: 327 Williamson
Phone: (603) 650-1976
Dr. Moen’s research program uses state-of-the-art data science methods to study variation in cancer care delivery and patient outcomes. Specific interests include evaluating physician patient-sharing networks to examine variation in cancer care delivery, care coordination, and how novel cancer tests and treatments are adopted by clinicians. We are also working to leverage network methods to integrate diverse sociodemographic, clinical, and health care utilization datasets to better inform risk prediction in cancer patients. The ultimate goal of Dr. Moen’s research is to contribute to efforts in streamlining high quality cancer care to optimize patient outcomes.
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 Practicum: Advanced Methods in Health Services Research
Ph.D. Rotations. Students interested in rotating in the Moen Lab are encouraged to contact Erika.
MethylSPWNet and MethylCapsNet: Biologically Motivated Organization of DNAm Neural Networks, Inspired by Capsule Networks.
Infant Mortality Associated With Prenatal Opioid Exposure.
Surgeon and medical oncologist peer network effects on the uptake of the 21-gene breast cancer recurrence score assay.
Prediction of an outcome using NETwork Clusters (NET-C).
Patient and physician factors associated with Oncotype DX and adjuvant chemotherapy utilization for breast cancer patients in New Hampshire, 2010-2016.
Artificial microbiome heterogeneity spurs six practical action themes and examples to increase study power-driven reproducibility.
Modeling peer effect modification by network strength: The diffusion of implantable cardioverter defibrillators in the US hospital network.
An Integrated Gaussian Graphical Model to evaluate the impact of exposures on metabolic networks.
Evaluation of Physician Network-Based Measures of Care Coordination Using Medicare Patient-Reported Experience Measures.
Physician network position and patient outcomes following implantable cardioverter defibrillator therapy.