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
Chubak J, Yu O, Ziebell RA, Bowles EJA, Sterrett AT, Fujii MM, Boggs JM, Burnett-Hartman AN, Boudreau DM, Chen L, Floyd JS, Ritzwoller DP, Hubbard RA. Risk of colon cancer recurrence in relation to diabetes. Cancer Causes Control. 2018 Sep 22. pii: 10.1007/s10552-018-1083-3. doi: 10.1007/s10552-018-1083-3. [Epub ahead of print]. PubMed
Pocobelli G, Yu O, Fuller S, Fraser JR, Wartko P, Chen L, Newton K, Dimer J, McCulloch D, Warwick S, Dublin S. One-step approach to identifying gestational diabetes mellitus: association with perinatal outcomes. Obstet Gynecol. 2018 Aug 17. doi: 10.1097/AOG.0000000000002780. [Epub ahead of print]. PubMed
Gray SL, Anderson ML, Hanlon JT, Dublin S, Walker RL, Hubbard RA, Yu O, Montine TJ, Crane PK, Sonne JA, Keene CD, Larson EB. Exposure to strong anticholinergic medications and dementia-related neuropathology in a community-based autopsy cohort. J Alzheimers Dis. 2018 Jul 21. pii: JAD171174. doi: 10.3233/JAD-171174. [Epub ahead of print]. PubMed
Jackson ML, Yu O, Nelson JC, Nordin JD, Tartof SY, Klein NP, Donahue JG, Irving SA, Glanz JM, McNeil MM, Jackson LA. Safety of repeated doses of tetanus toxoid, reduced diphtheria toxoid, and acellular pertussis vaccine in adults and adolescents. Pharmacoepidemiol Drug Saf. 2018 Aug;27(8):921-925. doi: 10.1002/pds.4569. Epub 2018 Jun 3. PubMed
Gray SL, Walker RL, Dublin S, Yu O, Bowles EJA, Anderson ML, Crane PK, Larson EB. Proton pump inhibitor use and dementia risk: prospective population-based study. J Am Geriatr Soc. 2017 Nov 14. doi: 10.1111/jgs.15073. [Epub ahead of print]. 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.