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
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. 2019 Dec 10. doi: 10.1002/sim.8410. [Epub ahead of print]. PubMed
Parchman ML, Anderson ML, Dorr DA, Fagnan LJ, O’Meara ES, Tuzzio L, Penfold RB, Cook AJ, Hummel J, Conway C, Cholan R, Baldwin LM. A randomized trial of external practice support to improve cardiovascular risk factors in primary care. Ann Fam Med. 2019 Aug 12;17(Suppl 1):S40-S49. doi: 10.1370/afm.2407. PubMed
Green BB, Anderson ML, Cook AJ, Chubak J, Fuller S, Kimbel KJ, Kullgren JT, Meenan RT, Vernon SW. Financial incentives to increase colorectal cancer screening uptake and decrease disparities: a randomized clinical trial. JAMA Netw Open. 2019 Jul 3;2(7):e196570. doi: 10.1001/jamanetworkopen.2019.6570. PubMed
Cook AJ, Wellman RD, Marsh T, Shoaibi A, Tiwari R, Nguyen M, Boudreau D, Weintraub ES, Jackson L, Nelson JC. Applying sequential surveillance methods that use regression adjustment or weighting to control confounding in a multi-site, rare event, distributed setting: part 2:in-depth example of a re-analysis of the measles-mumps-rubella-varicella combination vacc J Clin Epidemiol. 2019 Sep; 113:114-122. PubMed
Large, long-term study of post-op safety of weight-loss surgery includes Dr. Arterburn and University of Pittsburgh researchers.
New funding will establish an innovation center, to be led by Harvard Pilgrim in partnership with KPWHRI and others.
A Kaiser Permanente-led BCSC study is among the largest ever to evaluate adding MRI surveillance for breast cancer survivors.