Onchee Yu, MS, is a biostatistician who has extensive experience in statistical applications to electronic health records (EHR) data, which she has contributed to studies related to women’s health, pharmacoepidemiology, and vaccine safety and effectiveness. Ms. Yu has been a key member of the immunization research program at Kaiser Permanente Washington Health Research Institute (KPWHRI) over 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 medicine for one condition (for example, cardiovascular medications) affects risk of other illnesses (for example, dementia).
Addiction is another scientific area that Ms. Yu is involved in. In particular, she is a biostatistician on the PROUD (PRimary care Opioid Use Disorders) trial, a pragmatic implementation trial conducted in 6 diverse health systems to evaluate a program for increasing medication treatment for opioid use disorders within primary care settings.
Ms. Yu is also heavily involved in aging and geriatric research including collaborations with scientists on the Adult Changes in Thought (ACT) Study, a long-standing and ongoing longitudinal cohort study exploring risk factors related to dementia, Alzheimer's disease, and healthy aging.
Ms. Yu obtained her master’s degree in biostatistics from the University of Washington in 1999. She also has prior experience and contribution to research in cancer and women’s health.
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 ML, Yu O, Nelson JC, Naleway A, Belongia EA, Baxter R, Narwaney K, Jacobsen SJ, Shay DK, Jackson LA. Further evidence for bias in observational studies of influenza vaccine effectiveness: the 2009 Influenza A(H1N1) pandemic. Am J Epidemiol. 2013 Oct 15;178(8):1327-36. doi: 10.1093/aje/kwt124. Epub 2013 Aug 26. PubMed
Torrone EA, Satterwhite C, Scholes D, Yu O, Berman S, Peterman T. Estimating Chlamydia re-infection rates: an empirical example. Sex Transm Infect. 2013 Aug;89(5):388-90. doi: 10.1136/sextrans-2012-050970. Epub 2013 May 4. PubMed
Chubak J, Yu O, Buist DS, Wirtz HS, Boudreau DM. Time scale in follow-up studies: considering disease prognosis. Epidemiology. 2013;24(4):628-9. doi: 10.1097/EDE.0b013e3182961708. PubMed
Boudreau DM, Yu O, Spangler L, Do TP, Fujii M, Ott SM, Critchlow CW, Scholes D. Accuracy of ICD-9 codes to identify nonunion and malunion and developing algorithms to improve case-finding of nonunion and malunion. Bone. 2013 Feb;52(2):596-601. doi: 10.1016/j.bone.2012.11.013. Epub 2012 Nov 19. PubMed
Spangler L, Yu O, Loggers E, Boudreau DM. Bone mineral density screening among women with a history of breast cancer treated with aromatase inhibitors. J Womens Health (Larchmt). 2013 Feb;22(2):132-40. doi: 10.1089/jwh.2012.3687. Epub 2013 Jan 30. PubMed
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.