Andrea Cook, PhD, is a biostatistician whose work focuses on leveraging available data such as electronic health records (EHRs) to efficiently address important public health questions and improve the overall health of our population. Dr. Cook has developed research methods using EHRs and other existing health care data for major initiatives led by the National Institutes of Health (NIH), the Centers for Disease Control and Prevention (CDC), and the U.S. Food and Drug Administration (FDA). Her work spans many areas, including hypertension control, cancer screening, obesity, diabetes, built environment, and alternative medicine for pain.
The goal of Dr. Cook’s research is finding interventions that improve patient care. She studies how pragmatic clinical trials, which are conducted under real-world conditions in health care organizations such as Kaiser Permanente Washington, can deliver more effective care and improve patient outcomes. Dr. Cook is a lead biostatistician for the Biostatistics and Study Design Core of the NIH Collaboratory, which facilitates the implementation of pragmatic clinical trials. She addresses the numerous statistical challenges of pragmatic clinical trials including how to design studies to answer research questions without impeding the delivery of care and how to use EHRs for more cost-effective studies.
Dr. Cook also studies how to use EHR data to improve the way we monitor the safety of new medical products including vaccines, drugs, and medical devices. She contributes to the FDA Sentinel Initiative and the CDC Vaccine Safety Datalink and has led the development of new statistical methods for actively monitoring medical products for rare adverse events using distributed data networks.
Dr. Cook obtained her PhD in biostatistics from the Harvard T.H. Chan School of Public Health in 2005. She is a member of the American Statistical Association and the Western North American Region of the International Biometric Society. She is also an affiliate professor in biostatistics at the University of Washington.
Role of built environment; obesity prevention and control; nutrition
Analysis of longitudinal data; sequential methods
Physical activity; nutrition; built environment
Bobb JF, Mooney SJ, Cruz M, Vernez Moudon A, Drewnowski A, Arterburn D, Cook AJ Distributed lag models for retrospective cohort data with application to a study of built environment and body weight 2025 Jan 7;81(1). doi: 10.1093/biomtc/ujae166. PubMed
Moyer JC, Li F, Cook AJ, Heagerty PJ, Pals SL, Turner EL, Wang R, Zhou Y, Yu Q, Wang X, Murray DM Evaluating analytic models for individually randomized group treatment trials with complex clustering in nested and crossed designs 2024 Nov 10;43(25):4796-4818. doi: 10.1002/sim.10206. Epub 2024-09-03. PubMed
Williamson BD, Coley RY, Hsu C, McCracken CE, Cook AJ Considerations for Subgroup Analyses in Cluster-Randomized Trials Based on Aggregated Individual-Level Predictors 2024 Jul;25(Suppl 3):421-432. doi: 10.1007/s11121-023-01606-1. Epub 2023-10-28. PubMed
Phelan EA, Williamson BD, Balderson BH, Cook AJ, Piccorelli AV, Fujii MM, Nakata KG, Graham VF, Theis MK, Turner JP, Tannenbaum C, Gray SL Reducing Central Nervous System-Active Medications to Prevent Falls and Injuries Among Older Adults: A Cluster Randomized Clinical Trial 2024 Jul;7(7):e2424234. doi: 10.1001/jamanetworkopen.2024.24234. Epub 2024-07-01. PubMed
NIH-funded study finds that acupuncture improves pain, physical functioning.
Telehealth and online cognitive behavioral therapy could expand treatment options for chronic pain in rural areas.
Study uses geographic data to track change over time.
A new study finds that moving from low- to high-density neighborhoods might be related to reductions in weight gain.