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
Bradley KA, Hyun N, Idu A, Yu O, Bobb JF, Wartko PD, Weinstein Z, Matthews AG, McCormack J, Lee AK, Samet JH, PROUD Trial collaborators on sex, race and ethnicity Differences in benefits of office based opioid treatment: Secondary analyses across sub-groups in the PROUD randomized controlled implementation trial 2025 Nov 24 doi: 10.1111/add.70221. Epub 2025-11-24. PubMed
Li K, Emerman I, Cook AJ, Fireman BH, Sundaram M, Tseng HX, Weintraub ES, Yu O, Nelson JL, Shi X Using Double Negative Controls to Adjust for Healthy User Bias in a Recombinant Zoster Vaccine Safety Study 2025 Sep 3;194(9):2641-2649 doi:10.1093/aje/kwae439. doi: 10.1093/aje/kwae439. Epub 2024-11-26. PubMed
Gray SL, Su YR, Eshetie TC, LaCroix AZ, Marcum ZA, Yu O Cumulative Anticholinergic Exposure and Change in Gait Speed and Grip Strength in Older Adults 2025 Jul;8(7):e2519819. doi: 10.1001/jamanetworkopen.2025.19819. Epub 2025-07-01. PubMed
Chavez LJ, Yu O, Wartko PD, Braciszewski JM, Glass JE, Horigian VE, Arnsten JH, Murphy MT, Stotts AL, Bagley SM, Lapham GT, Samet JH Opioid use disorder medications among youth in primary care: Subgroup analysis of the PROUD trial 2025 Apr;1(2). doi: 10.1542/pedsos.2024-000392. Epub 2025-04-25. PubMed
Schwarze-Taufiq TA, Pranoto IKA, Hui K, Kinoshita C, Yu O, Crane PK, Gray SL, Young JE Anticholinergic drugs and dementia risk: Using stem cell-based studies to complement pharmacoepidemiology 2025 Jan;11(1):e70040. doi: 10.1002/trc2.70040. Epub 2025-02-05. 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.