Andrea J. Cook, PhD

“Our group is tackling major challenges in biostatistical research such as how to rigorously analyze data from pragmatic clinical trials so that results can be applied to improve patient care.”

Andrea J. Cook, PhD

Group Health Research Institute Associate Investigator

Biography

Andrea Cook’s methodological experience is advanced and diverse. Her statistical research spans randomized controlled trials (RCTs), longitudinal data analysis, spatial statistics, survival analysis, and multi-level data analysis applied across an equally broad range of health care topics.

Dr. Cook completed her biostatistics training at Harvard School of Public Health in 2005. Since joining Group Health Research Institute (GHRI), she has continued important work on methods for spatial cluster detection—a new way to analyze all data outcomes. Much of her other research focuses on developing methods for longitudinal and correlated data, with application in areas such as breast cancer screening, obesity control and prevention, emergency resuscitation, alternative medicine, and vaccine safety. She joins GHRI biostatistician Jennifer Nelson, PhD, as a key contributor to projects funded through the Vaccine Safety Datalink (VSD), including a nationwide, rapid-cycle analysis of vaccine-related adverse events. Using spatial statistics to develop methods for disease surveillance is another of her core research interests.

At GHRI, Dr. Cook has also gained extensive experience in statistical oversight of RCTs for safety. She is a member of the American Statistical Association and an affiliate associate professor in biostatistics at the University of Washington.

Research interests and experience

Recent publications

Rosenberg DE, Cook A, Gell NM, Lozano P, Grothaus L, Arterburn D.

Relationships between sitting time and health indicators, costs, and utilization in older adults.

Prev Med Rep. 2015 2:247-9. [Epub ahead of print].

Stratton KG, Cook AJ, Jackson LA, Nelson JC.

Simulation study comparing exposure matching with regression adjustment in an observational safety setting with group sequential monitoring.

Stat Med. 2014 Dec 15. doi: 10.1002/sim.6398. [Epub ahead of print]. PubMed

Huang R, Moudon AV, Cook AJ, Drewnowski A.

The spatial clustering of obesity: does the built environment matter?

J Hum Nutr Diet. 2014 Oct 3. doi: 10.1111/jhn.12279 [Epub ahead of print]. PubMed

Cook AJ, Wellman RD, Nelson JC, Jackson LA, Tiwari RC.

Group sequential method for observational data by using generalized estimating equations: application to Vaccine Safety Datalink.

J R Stat Soc Ser C Appl Stat. 2014 Sep 23.doi: 10.1111/rssc.12075 [Epub ahead of print].