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
Buszkiewicz J, Rose C, Gupta S, Ko LK, Mou J, Moudon AV, Hurvitz PM, Cook A, Aggarwal A, Drewnowski A. A cross-sectional analysis of physical activity and weight misreporting in diverse populations: the Seattle Obesity Study III. Obes Sci Pract. 2020 Aug 21;6(6):615-627. doi: 10.1002/osp4.449. eCollection 2020 Dec. PubMed
Chubak J, Anderson ML, Cook AJ, Murphy CC, Jackson ML, Green BB. Methodological considerations in calculating and analyzing proportion of time covered as a measure of longitudinal cancer screening adherence. Cancer Epidemiol Biomarkers Prev. 2020 May 28:cebp.0388.2020. doi: 10.1158/1055-9965.EPI-20-0388. [Epub ahead of print]. PubMed
McTigue KM, Wellman R, Nauman E, Anau J, Coley RY, Odor A, Tice J, Coleman KJ, Courcoulas A, Pardee RE, Toh S, Janning CD, Williams N, Cook A, Sturtevant JL, Horgan C, Arterburn D. Comparing the 5-year diabetes outcomes of sleeve gastrectomy and gastric bypass: the National Patient-Centered Clinical Research Network (PCORNet) - Bariatric Study. JAMA Surg. 2020 May 1;155(5):e200087. doi: 10.1001/jamasurg.2020.0087. Epub 2020 May 20. PubMed
Shi X, Wellman R, Heagerty PJ, Nelson JC, Cook AJ. Safety surveillance and the estimation of risk in select populations: Flexible methods to control for confounding while targeting marginal comparisons via standardization. Stat Med. 2020;39(4):369-386. doi: 10.1002/sim.8410. Epub 2019 Dec 10. PubMed
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