Yuanyuan Liang, PhD, MSc

B.Sc. in Computer Science and Applied Mathematics, Department of Mathematics, Beijing Normal University, Beijing, China, 2000

M.Sc. in Biostatistics, Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada, 2003

Ph.D. in Statistics, Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada, 2006

Dr. Liang is a tenured Professor in the Department of Epidemiology and Public Health at the University of Maryland School of Medicine. She has nearly two decades of experience in the development, management and analysis of epidemiological, clinical, and health services data with a strong emphasis on applying state-of-the-art statistical methodologies. Her research focuses on study design for clinical trials using both traditional and innovative design methods such as cluster randomized and stepped-wedge designs and test-negative designs; analysis of longitudinal data; causal inference for observational studies; multiple imputation for missing data; meta-analysis for systematic reviews; and risk prediction modeling. Her research is primarily motivated by medical and public health applications in substance use, obesity, diabetes, cancer, and infant and maternal health. She is also experienced with using large electronic medical databases to evaluate care and identify health disparities. Dr. Liang has served, or is currently serving, as a Co-Investigator and Lead Statistician on more than 70 federally or state-funded research grants, including over 20 NIH R01 awards, and has co-authored over 180 peer-reviewed publications.

Design and Analysis of Repeated Measures Data; Construction of Optimal Designs; Meta-Analysis for Systematic Reviews; Risk Prediction Models with Special Application to Cancer and Population Health Research; Assessment of Vaccine Efficacy and Effectiveness

Liang Y, Carrière KC. On the role of baseline measurements for crossover designs under the self and mixed carryover effects model. Biometrics 2010; 66(1):140-148.

Liang Y, Yin Li, Wang J, Carrière KC. Multiple-objective response-adaptive repeated measurement designs in clinical trials for binary responses. Statistics in Medicine 2014; 33(4):607-617.

Liang Y, Ehler BR, Hollenbeak CS, Turner BJ. Behavioral support intervention for uncontrolled hypertension: A complier average causal effect (CACE) analysis. Medical Care 2015; 53(2): e9-e15.

Liang Y, Driscoll AJ, Patel PD, Datta S, Voysey M, French N, Jamka LP, Henrion M, Ndeketa L, Laurens MB, Heyderman RS, Gordon MA, Neuzil KM. Typhoid conjugate vaccine effectiveness in Malawi: evaluation of a test-negative design using randomised, controlled clinical trial data. The LANCET Global Health 2023; 11(1): e136-e144. 

Patel P, Liang Y, Meiring JE, Chasweka N, Patel P, Misiri T, Mwakiseghile F, Wachepa R, Banda HC, Shumba F, Kawalazira G, Dube Q, Nampota-Nkomba N, Nyirenda OM, Girmay T, Datta S, Jamka LP, Tracy JK, Laurens MB, Heyderman RS, Neuzil KM, Gordon MA. Efficacy of typhoid conjugate vaccine: final analysis of a 4-year, phase 3, randomised controlled trial in Malawian children. The Lancet 2024; 403(10425):459-468.