Onchee Yu, MS

“I'm pleased that my work is having a national impact by making vaccines, drugs, and medical devices even more effective and safe.”

Onchee Yu, MS

Senior Biostatistician, Kaiser Permanente Washington Health Research Institute


Onchee Yu, MS, is a biostatistician who has contributed her extensive experience in statistical applications to studies ranging from breast cancer screening and prevention to pharmacoepidemiology to vaccine safety and effectiveness. Ms. Yu has been a key member of KPWHRI's immunization research program for almost 15 years. Her work focuses on accurately measuring vaccine effectiveness, side effects, and safety. She has studied the influenza vaccine in general populations, the pneumococcal vaccine in older people, and the diphtheria-tetanus-pertussis (DTaP) vaccine in children. With KPWHRI collaborators Jennifer Nelson, PhD and Andrea Cook, PhD, Ms. Yu works on the Vaccine Safety Datalink and Mini-Sentinel projects that are developing and improving statistical methods for monitoring the safety of vaccines and drugs already on the market.

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 affects risk of other illnesses. For example, Ms. Yu has coauthored studies on whether taking medications for heart disease or using antibiotics affects risk of breast cancer recurrence. She has evaluated how different classes of medication affect outcomes such as dementia.

Ms. Yu is a member of the American Statistical Association. Her methodological expertise includes classification and regression tree analysis and survival analysis.

Research interests and experience

  • Biostatistics

    Survival analysis; classification and regression tree analysis

  • Vaccines & Infectious Diseases

    Biostatistics; vaccine safety and efficacy; post-marketing vaccine safety study design and analysis

  • Medication Use & Patient Safety

    Biostatistics; medication use and cancer outcomes; medication use and dementia outcomes; post-marketing drug and vaccine safety study design and analysis; safety signal detection methods

Recent publications

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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