Biostatistics

“Through engaged collaboration and methodological rigor, KPWHRI biostatisticians are finding new ways to better leverage electronic health record data for public health—and public good.”

Jennifer Nelson, PhD
Kaiser Permanente Washington Health Research Institute Senior Investigator
Director of Biostatistics 

Research overview

High-quality health care research depends on high-quality biostatistics: Without it, conducting scientifically sound studies would be like trying to assemble a puzzle without having all the right pieces. The Biostatistics Unit at Kaiser Permanente Washington Health Research Institute promotes the use of rigorous statistical methods that enhance the quality of research at Kaiser Permanente Washington and nationwide.

National consortia

KPWHRI biostatisticians help lead several national consortia that are developing innovative methodological approaches to benefit public health, including the Food and Drug Administration (FDA)’s Sentinel Initiative. “We help the FDA overcome analytic challenges in using health care databases to conduct post-market safety surveillance, developing new methodological approaches that allow rapid safety surveillance of new medical products,” says Jennifer Nelson, PhD, director of biostatistics at KPWHRI. 

Another such project is the National Institutes of Health (NIH)’s Health Care Systems Research Collaboratory, which supports several pragmatic clinical trials that take advantage of large health systems’ existing data resources to efficiently produce results that better reflect real-world care. Andrea Cook, PhD, and Jennifer Bobb, PhD, are developing new methods for these clinical trials that use data from electronic health records (EHRs) and other existing data systems. As Dr. Cook explains, “You need different methods and a whole new approach to trial design to test interventions that will work in a real-world setting.”

As a co-investigator on the Mental Health Research Network (MHRN), Susan Shortreed, PhD, helps design research ranging from comparative effectiveness and safety studies to predicting outcomes over time based on patient and provider characteristics and treatment choices. “Our long-term goal is to improve mental health care by using EHR data to identify which depression treatments will work best for which people,” she says.

Learning health care systems

KPWHRI biostatisticians also play an integral role in influential learning health system (LHS) research, which focuses on rapidly improving the delivery of health care using feedback from patients, community members, providers, and health system leadership. As an Agency for Healthcare Research and Quality (AHRQ)/Patient-Centered Outcomes Research Institute (PCORI)-funded LHS scholar, R. Yates Coley, PhD, provides risk prediction expertise to KPWHRI’s LHS Program, using data from a person’s health history, diseases, treatments, and other information to predict, in an automated manner, who is at higher risk for prostate cancer as well as who will respond well to treatment for depression.

Seattle Symposium

With the use of EHR data for research rising, methodological rigor is more important than ever. That’s why Drs. Cook and Nelson joined with Patrick Heagerty, PhD, a KPWHRI affiliate investigator and professor of biostatistics at the University of Washington, to  launch the Seattle Symposium on Health Care Data Analytics. Held in 2014, 2016, and 2018, this first-of-its-kind event brought together scientists from across the country to discuss the statistical challenges of using EHR data for health research and to explore new methods to overcome those challenges.

Through the symposium and the many ongoing projects at KPWHRI, our biostatisticians continue to improve the rigor with which scientists address important questions about public health and health services. “We have an incredibly strong group, including many very talented master’s-level statisticians who help apply and adapt statistical methods to real-world situations—an asset that is rare in most academic research settings,” Dr. Nelson says.

Recent publications on Biostatistics

Anthony MS, Zhou X, Schoendorf J, Reed SD, Getahun D, Armstrong MA, Gatz J, Peipert JF, Raine-Bennett T, Fassett MJ, Saltus CW, Ritchey ME, Ichikawa L, Shi JM, Wahdan Y, Wang J, Xie F, Merchant M, Hunter S, Chiu VY, Rothman KJ, Im TM, Takhar HS, Asiimwe A, Pisa F. Demographic, reproductive and medical risk factors for intrauterine device expulsion: APEX-IUD study. Obstet Gynecol. 2022 Dec 1;140(6):1017-1030. doi: 10.1097/AOG.0000000000005000. Epub 2022 Nov 2. PubMed

Bellettiere J, Nakandala S, Tuz-Zahra F, Winkler E, Hibbing PR, Healy GN, Dunstan D, Owen N, Greenwood-Hickman MA, Rosenberg DE, Zou J, Carlson JA, Di C, Dillon L, Jankowska MM, LaCroix AZ, Ridgers ND, Kumar A, Natarajan L. CHAP-Adult: a reliable and valid algorithm to classify sitting and measure sitting patterns using data from hip-worn accelerometers in adults aged 35+. J Meas Phys Behav. 2022 Sept 21:1-9. doi: 10.1123/jmpb.2021-0062.

Mitchell CM, Oxtoby LE, Shaw PA, Budge SM, Wooller MJ, de Baca TC, Krakoff J, Votruba S, O'Brien DM. Carbon isotope ratios of plasma and RBC fatty acids identify meat consumers in a 12-week inpatient feeding study of 32 men. J Nutr. 2022 Sep 12;nxac213. doi: 10.1093/jn/nxac213. Online ahead of print. PubMed

Cruz M, Shortreed SM, Richards JE, Coley RY, Yarborough BJ, Walker RL, Johnson E, Ahmedani BK, Rossom R, Coleman KJ, Boggs JM, Beck AL, Simon GE. Machine learning prediction of suicide risk does not identify patients without traditional risk factors. J Clin Psychiatry. 2022 Aug 31;83(5):21m14178. doi: 10.4088/JCP.21m14178. PubMed

Carlson JA, Ridgers ND, Nakandala S, Zablocki R, Tuz-Zahra F, Bellettiere J, Hibbing PR, Steel C, Jankowska MM, Rosenberg DE, Greenwood-Hickman MA, Zou J, LaCroix AZ, Kumar A, Natarajan L. CHAP-Child: An open source method for estimating sit-to-stand transitions and sedentary bout patterns from hip accelerometers among children. Int J Behav Nutr Phys Act. 022 Aug 26;19(1):109. doi: 10.1186/s12966-022-01349-2. PubMed

Researchers in Biostatistics

Jennifer F. Bobb, PhD

Associate Biostatistics Investigator
206-287-2190
Jennifer.F.Bobb@kp.org

Curriculum vitae (CV)

Yates Coley, PhD

Associate Biostatistics Investigator
206-287-2071
Rebecca.Y.Coley@kp.org

Curriculum vitae (CV)

Andrea J. Cook, PhD

Senior Biostatistics Investigator
206-287-4257
Andrea.J.Cook@kp.org

Curriculum vitae (CV)

Maricela Cruz, PhD

Assistant Biostatistics Investigator
206-287-2878
Maricela.F.Cruz@kp.org

Curriculum vitae (CV)

Noorie Hyun, PhD

Assistant Biostatistics Investigator
Noorie.Hyun@kp.org

Curriculum vitae (CV)

Jennifer C. Nelson, PhD

Director, Biostatistics; Senior Investigator
206-287-2004
Jen.Nelson@kp.org

Curriculum vitae (CV)

Pamela A. Shaw, PhD, MS

Senior Biostatistics Investigator
Pamela.A.Shaw@kp.org

Curriculum vitae (CV)

Susan M. Shortreed, PhD

Senior Biostatistics Investigator
206-287-2088
Susan.M.Shortreed@kp.org

Curriculum vitae (CV)

Yu-Ru Su, PhD

Assistant Biostatistics Investigator
206-287-2948
yuru.su@kp.org

Curriculum vitae (CV)

Brian D. Williamson, PhD

Assistant Biostatistics Investigator
206-287-2024
Brian.D.Williamson@kp.org

Curriculum vitae (CV)

Melissa L. Anderson, MS

Principal Collaborative Biostatistician
206-287-2647
Melissa.L.Anderson@kp.org

Curriculum vitae (CV)

Laura E. Ichikawa, MS

Principal Collaborative Biostatistician
206-287-2395
Laura.E.Ichikawa@kp.org

Curriculum vitae (CV)

Abisola Idu, MS, MPH

Collaborative Biostatistician I
206-287-2893
abisola.idu@kp.org

Curriculum vitae (CV)

Eric Johnson, MS

Senior Collaborative Biostatistician
206-287-2105
Eric.Johnson@kp.org

Curriculum vitae (CV)

Chloe Krakauer, PhD

Collaborative Biostatistician II
chloe.a.krakauer@kp.org

Curriculum vitae (CV)

Rod L. Walker, MS

Senior Collaborative Biostatistician
206-287-2895
Rod.L.Walker@kp.org

Curriculum vitae (CV)

Robert D. Wellman, MS

Senior Collaborative Biostatistician
206-287-2557
Robert.D.Wellman@kp.org

Curriculum vitae (CV)

Onchee Yu, MS

Principal Collaborative Biostatistician
206-287-2389
Onchee.Yu@kp.org

Curriculum vitae (CV)

Weiwei Zhu, MS

Senior Collaborative Biostatistician
206-442-5215
Weiwei.Zhu@kp.org

Curriculum vitae (CV)