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
Pocobelli G, Yu O, Ziebell RA, Aiello Bowles EJ, Fujii MM, Sterrett AT, Boggs JM, Chen L, Boudreau DM, Ritzwoller DP, Hubbard RA, Chubak J. Use of antidepressants after colon cancer diagnosis and risk of recurrence. Psycho-oncology. 2019 Jan 31. doi: 10.1002/pon.5015. [Epub ahead of print]. PubMed
Chen L, Pocobelli G, Yu O, Shortreed SM, Osmundson SS, Fuller S, Wartko PD, McCulloch D, Warwick S, Newton KM, Dublin S. Early pregnancy hemoglobin A1C and pregnancy outcomes: a population-based study. Am J Perinatol. 2018 Nov 30. doi: 10.1055/s-0038-1675619. [Epub ahead of print]. PubMed
Yu O, Scholes D, Schulze-Rath R, Grafton J, Hansen K, Reed SD. A US population-based study of uterine fibroid diagnosis incidence, trends, and prevalence: 2005-2014. Am J Obstet Gynecol. 2018 Oct 3. pii: S0002-9378(18)30831-7. doi: 10.1016/j.ajog.2018.09.039. [Epub ahead of print]. PubMed
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
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