Search enhanced by Google
Hong Li, Ph.D.
Associate Professor
To see if Hong Li is accepting new patients, or for assistance finding a UC Davis doctor, please call 800-2-UCDAVIS (800-282-3284).
Locations and Contact
Research/Academic Interests
Dr. Li has had a long-term involvement in collaborative clinical projects, including clinical trials, which involved various disease domains, including cancer, chronic disease, infectious diseases, Alzheimer’s disease, and Parkinson’s disease. She is a member of Biostatistics Shared Resource at UC Davis Comprehensive Cancer Center. Her statistical methodology research interests are in the general area of statistical methods for the evaluation of diagnostic tests, modeling and evaluating biomarkers, medical decision making, personalized medicine in disease diagnosis, prognosis, and treatment, and design and analysis of clinical trials.
Division
Biostatistics
Center/Program Affiliation
Undergraduate School
B.S., Applied Mathematics, Tsinghua University, Beijing P.R. China 1990
Other School
Ph.D., Biostatistics, Brown University, Providence RI 2009
Other School
M.S., Statistics, Rutgers University, New Brunswick NJ 1999
Access Dr. Li's bibliography here.
Wen C, Baker N, Paul R, Hill B, Hunt K, Li H, Gray K, Neelon B. A Bayesian Beta-Binomial Piecewise Growth Mixture Model for Longitudinal Overdispersed Binomial Data. Statistical Methods in Medical Research. Accepted Aug. 2024
Beall J, Li H, Martin-Harris B, Neelon B, Elm J, E. Graboyes, E. Hill. Bayesian Hierarchical Profile Regression for Binary Covariates. Statistics in Medicine. Accepted April 2024.
Mutiso F, Pearce JL, Benjamin-Neelon SE, Mueller NT, Li H, Neelon B. A marginalized zero-inflated negative binomial model for spatial data: Modeling COVID-19 deaths in Georgia. Biometrical Journal. Accepted March 2024.
Wen C, Baker N, Paul R, Hill E, Hunt K, Li H, Gray K, Neelon B. A Bayesian zero-inflated beta-binomial model for longitudinal data with group-specific changepoints. Statistics in Medicine. 2024 Jan 15;43(1):125-140
Shipes VB, Meinzer c, Wolf BJ, Li H, Carpenter MJ, Kamel H, Martin RH. Designing a phase-III time-to-event clinical trial using a modified sample size formula and Poisson-Gamma model for subject accrual that accounts for the lag in site initiation using the PERT distribution. Statistics in Medicine. 2023 Dec 30;42(30):5694-5707
Mutiso F, Li H, Pearce JL, Benjamin-Neelon SE, Mueller NT, Neelon B. Bayesian kernel machine regression for count data: modelling the association between social vulnerability and COVID-19 deaths in South Carolina. Journal of the Royal Statistical Society Series C. 2023 Nov 3;73(1):257-274
Tian Z, Hazen G, Li H. Optimal investment and the value of interim analyses in late-stage new drug development with learning of drug’s efficacy. Manufacturing and Service Operations Management. Jan. 2023 Vol 25, Issue 1, pp 88-107
Mutiso F, Pearce JL, Benjamin-Neelon SE, Mueller NT, Li H, Neelon B. Bayesian negative binomial regression with spatially varying dispersion: Modeling COVID-19 incidence in Georgia. Spatial Statistics. 2022 Dec; 52:100703
Li H, Benitez A, Neelon B. A Bayesian Hierarchical Change Point Model with Parameter Constraints. Statistical Methods in Medical Research. 2021 Jan;30(1):316-330.
Li H, Gatsonis C. Combining biomarker trajectories to improve diagnostic accuracy in prospective cohort studies with verification bias. Statistics in Medicine. 2019 May 20;38(11):1968-1990.