Onchee Yu, MS, is a biostatistician who has contributed her extensive experience in statistical applications to electronic health records (EHR) data to studies related to women’s health, pharmacoepidemiology, and vaccine safety and effectiveness. Ms. Yu has been a key member of Kaiser Permanente Washington Health Research Institute’s (KPWHRI) immunization research program for 20 years. Her work focuses on applying statistical methods to evaluate vaccine effectiveness, side effects, and safety. In collaboration with KPWHRI biostatisticians Jennifer Nelson, PhD, and Andrea Cook, PhD, Ms. Yu developed and improved statistical methods for monitoring the safety of postmarketing vaccines in the Vaccine Safety Datalink project.
Much of Ms. Yu's recent research is in pharmacoepidemiology, which is studying how drugs are used in a population and their impact on public health. She is an expert in statistical analysis in a complex, clinically important area—determining if taking medicine for one condition (for example, cardiovascular medications) affects risk of other illnesses (for example, cancer outcomes).
Ms. Yu also contributes to women’s health. Using extensive EHR data and in collaboration with University of Washington clinician and KPWHRI affiliate researcher Susan D. Reed, MD, MPH, Ms. Yu has estimated incidences and prevalences, validated diagnosis codes, and developed automated case-finding algorithms for women’s health conditions including uterine fibroids, adenomyosis and endometriosis.
Ms. Yu obtained her MS in biostatistics from the University of Washington in 1999. She is a member of the American Statistical Association and the International Society for Pharmacoepidemiology. Her statistical methodological expertise includes classification and regression tree analysis, and survival analysis.
Survival analysis; classification and regression tree analysis
Biostatistics; medication use and cancer outcomes
Biostatistics; vaccine safety and efficacy; postmarketing vaccine safety study design and analysis
Biostatistics; incidence and prevalence estimations; validation of diagnosis codes; automated case-finding algorithms
Biostatistics; medication use and cancer outcomes; postmarketing drug and vaccine safety study design and analysis; safety signal detection methods
Jackson LA, Yu O, Nelson JC, Dominguez C, Peterson D, Baxter R, Hambidge SJ, Naleway AL, Belongia EA, Nordin JD, Baggs J. Injection site and risk of medically attended local reactions to acellular pertussis vaccine. Pediatrics. 2011 Mar;127(3):e581-e587. Epub 2011 Feb 7. PubMed
Jackson LA, Peterson D, Dunn J, Hambidge SJ, Dunstan M, Starkovich P, Yu O, Benoit J, Dominguez-Islas CP, Carste B, Benson P, Nelson JC. A randomized placebo-controlled trial of acetaminophen for prevention of post-vaccination fever in infants. PLoS One. 2011;6(6):e20102. Epub 2011 Jun 17. PubMed
Satterwhite CL, Yu O, Raebel MA, Berman S, Howards PP, Weinstock H, Kleinbaum D, Scholes D. Detection of pelvic inflammatory disease: development of an automated case-finding algorithm using administrative data. Infect Dis Obstet Gynecol. 2011;2011:428351. Epub 2011 Nov 14. PubMed
Boudreau DM, Yu O, Johnson J. Statin use and cancer risk: a comprehensive review. Expert Opin Drug Saf. 2010 Jul;9(4):603-21. Epub 2010 Apr 9. PubMed
Ross TR, Reid RJ, Fishman P, Yu O, Tufano JT, Larson EB. C-B2-03: patient and clinician experience in a patient-centered medical home demonstration. Clin Med Res. 2010 March;8(1):44.
A trial led by KPWHRI researchers found that adding nurse care managers helped more people get needed treatment.
Researchers gain better understanding of polycystic ovary syndrome's impact in U.S.
Researchers find a relationship between prescribed central nervous system-active medications and increased risk of falling among older people with dementia.