Dandan Liu

Associate Professor of Biostatistics
Director
Vanderbilt Institute for Clinical and Translational Research (VICTR) Methods Program
Office Address
2525 West End Avenue, Suite 1100
Room / Suite
Room 11135
Nashville
Tennessee
37203
Phone
(615) 322-8318

PhD, Biostatistics, University of Michigan

Research interests include: biomarker evaluation, event history data analysis with application to cardiovascular disease, cancer, Alzheimer's disease, risk prediction modeling, disease progression modeling, electronic health records 

Honors include: Outstanding Faculty Mentor (2022); Department Method Publication Award (2015) 

Service includes: co-chair, 2024 International Chinese Statistical Association (ICSA) Applied Statistics Symposium; Steering Committee Member of Executive Committee: Design and Data Analytics (DaDA) Professional Interests Area (PIA) of the Alzheimer’s Association International Society to Advance Alzheimer’s Research and Treatment (ISTAART) (2022–present); Department of Biostatistics Graduate Admissions Committee (2014–2022), Faculty Search Committee (2017–present), and Biostatistics Resource Allocation Committee (chair, 2020–present) 

Member of: International Biometric Society (IBS); East North American Region (ENAR); American Statistical Association (ASA); Association for Clinical and Translational Science (ACTS); Alzheimer’s Association International Society to Advance Alzheimer’s Research and Treatment (ISTAART); International Chinese Statistical Association (ICSA) 

More information: biostat.app.vumc.org/DandanLiu

 

 

 

Dr. Liu serves as the faculty biostatistician for the Department of Emergency Medicine collaboration plan and the Vanderbilt Memory & Alzheimer’s Center (VMAC). Her statistical mentorship of early career investigators has led to several funded K23 grant applications. She has also been involved in multiple funded studies, including R01s, as a co-investigator. At VMAC, she plays a critical role in the dissemination of all research activities. Her expert guidance includes but is not limited to longitudinal data analysis, multivariate logistic regression, meta-analysis, item response theory, propensity score matching, factor analysis, and latent class analysis.