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
Cook AJ, Elmore JG, Zhu W, Jackson SL, Carney PA, Flowers C, Onega T, Geller B, Rosenberg RD, Miglioretti DL. Mammographic interpretation: radiologists' ability to accurately estimate their performance and compare it with that of their peers. AJR Am J Roentgenol. 2012 Sep;199(3):695-702. PubMed
Carney PA, Abraham L, Cook A, Feig SA, Sickles EA, Miglioretti DL, Geller BM, Yankaskas BC, Elmore JG. Impact of an educational intervention designed to reduce unnecessary recall during screening mammography. Acad Radiol. 2012 Sep;19(9):1114-20. Epub 2012 Jun 23. PubMed
Green BB, Anderson ML, Cook AJ, Catz S, Fishman P, McClure JB, Reid R. Using body mass index data in the electronic health record to calculate cardiovascular risk. Am J Prev Med. 2012;42:342-7. PubMed
Jackson SL, Cook AJ, Miglioretti DL, Carney PA, Geller BM, Onega T, Rosenberg RD, Brenner RJ, Elmore JG. Are radiologists' goals for mammography accuracy consistent with published recommendations? Acad Radiol. 2012 Mar;19(3):289-95. Epub 2011 Nov 30. PubMed
New research suggests fast food and other aspects of built environments don’t affect weight, contrary to earlier findings.
Dr. Jennifer Nelson explains how KP scientists are helping the CDC and FDA keep an eye out for rare adverse events.
Watch video on latest results from PCORnet Bariatric Study. (Spoiler alert: Bypass, not sleeve.)