Overview
Rebecca North, PhD
Dr. North is a collaborative biostatistician who lets clinical application drive methodological innovation. This has been true since graduate school at NC State University, where her dissertation focused on variable selection methods for functional data for the purpose of identifying a sparse set of electromyogram signals that would accurately predict the velocity of a prosthetic arm. Also while in graduate school, Dr. North was supported by a T32 Traineeship, the National Heart, Lung, and Blood Institute Integrated Biostatistical Training Program for Cardiovascular Disease Research, through which she gained clinical research experience at the Duke Clinical Research Institute with particular focus on atrial fibrillation research.
Since joining the Duke Aging Center, Dr. North has gained statistical experience in latent class analysis, mediation analysis, and meta-analysis, to add to her knowledge of functional data analysis, variable selection techniques, random forests and decision trees, survival analysis, longitudinal data analysis, and other classical frequentist statistical methods. Her clinical areas of interest include circadian rhythm research, cardiovascular research (particularly atrial fibrillation), and Veteran health.
Dr. North is a collaborative biostatistician who lets clinical application drive methodological innovation. This has been true since graduate school at NC State University, where her dissertation focused on variable selection methods for functional data for the purpose of identifying a sparse set of electromyogram signals that would accurately predict the velocity of a prosthetic arm. Also while in graduate school, Dr. North was supported by a T32 Traineeship, the National Heart, Lung, and Blood Institute Integrated Biostatistical Training Program for Cardiovascular Disease Research, through which she gained clinical research experience at the Duke Clinical Research Institute with particular focus on atrial fibrillation research.
Since joining the Duke Aging Center, Dr. North has gained statistical experience in latent class analysis, mediation analysis, and meta-analysis, to add to her knowledge of functional data analysis, variable selection techniques, random forests and decision trees, survival analysis, longitudinal data analysis, and other classical frequentist statistical methods. Her clinical areas of interest include circadian rhythm research, cardiovascular research (particularly atrial fibrillation), and Veteran health.
Current Appointments & Affiliations
Biostatistician III
Center for the Study of Aging and Human Development,
Institutes and Centers
Recent Publications
Baseline characteristics of Veterans from improving Veteran access to integrated management of back pain (AIM-Back) - an embedded pragmatic, cluster-randomized trial in the United States.
Journal Article Pain Manag · June 2026 OBJECTIVE: Describe baseline characteristics and representativeness of AIM-Back trial participants relative to Veterans with low back pain at participating clinics. METHODS: Veterans were referred to AIM-Back randomized care pathways and included 1) enroll ... Full text Link to item CiteClinically relevant contextual factors for enrolling patients in a pain intervention across multiple health care centers.
Journal Article Implement Sci Commun · May 5, 2026 BACKGROUND: Low back pain (LBP) negatively impacts public health and places a significant burden on healthcare systems. Non-pharmacologic interventions are recommended as first-line treatments for LBP, yet their uptake remains low due to implementation cha ... Full text Link to item CiteRacial disparities in healthcare-associated infections: a systematic review and meta-analysis.
Journal Article Infect Control Hosp Epidemiol · April 24, 2026 OBJECTIVE: Racial and ethnic disparities in healthcare-associated infections (HAIs) could have significant implications for hospital-based incentive programs. We sought to quantify racial and ethnic disparities in HAIs across inpatients in the United State ... Full text Link to item CiteRecent Grants
Navigator-Assisted Non-Pharmacologic Pain Relief for Veterans with Back Pain
ResearchBiostatistician III · Awarded by Patient-Centered Outcomes Research Institute · 2026 - 2031Measuring Readiness to Reduce Disparities and Improve Quality in Primary Care (EQUIP)
ResearchBiostatistician III · Awarded by National Institutes of Health · 2024 - 2028Effect of Acetylcholinesterase inhibitors on Bone Metabolism and Fracture Risk Factors among older adults with mild to moderate Alzheimer's Disease (R21)
ResearchBioinformatician II · Awarded by National Institute on Aging · 2023 - 2026View All Grants