Dianxu Ren

Director for Statistical and Data Support Services
Health & Community Systems


Dr. Ren’s research area is biostatistics. He is particularly interested in longitudinal data modeling, multilevel modelling, structure Equation modeling, and novel statistical methods application in the health sciences. Dr. Ren has collaborated as principal investigator and co-investigator/biostatistician on a number of research projects with either intramural or extramural funding in the health sciences. Dr. Ren’s independent research focus on epidemiology and statistics in aging, gerontology and Alzheimer disease related dementia (ADRD) using large national databases. Dr Ren hold a secondary appointment as Professor in the Department of Biostatistics, School of Public Health at University of Pittsburgh and is a member of ADRC statistician methodology working group at University of Pittsburgh.


Dr. Ren teaches two graduate level statistics classes for on-site and online students including NUR2011: Applied Statistics for Evidence-Based Practice, and NUR3032: Data Analysis for DNP Projects in the School of Nursing. Topics include basic statistics, ANCOVA, linear regression, logistic regression, longitudinal data analysis and meta-analysis, as well as hands-on experience with statistical software.  He has served on a number of bachelor/master’s theses and PhD’s dissertations committees in both biostatistics and nursing, and has mentored pre- and postdoctoral fellows and junior faculty for their research projects as well as advanced statistical methods.


In addition to functioning as a faculty statistician to the researchers in the School of Nursing, Dr. Ren is the Director for Statistical and Data Support Services at the School of Nursing. Dr. Ren has participated various university committee as a representative of school of nursing. He also has served as a statistical reviewer for a number of scientific research journals.