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, meta-analysis, and novel statistical methods application in the health sciences. Dr. Ren has collaborated as a co-investigator and biostatistician on a number of research projects with either intramural or extramural funding in the health sciences. Some of the research studies he has participated in also have driven statistical methodology research.


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 descriptive statistics, t-test, ANOVA, ANCOVA, linear regression, logistic regression, and repeated measure analysis, as well as hands-on experience with the menu-driven statistical software program Statistical Package for the Social Sciences (SPSS).  He has served on a number of thesis and dissertation committees in biostatistics and nursing, and has mentored pre- and postdoctoral fellows and junior faculty for their research projects.


In addition to functioning as a faculty statistician to the researchers in the School of Nursing, Dr. Ren is the Associate Director for Statistical Support Services of the Center for Research and Evaluation at the School of Nursing. Dr. Ren is co-investigator and biostatistician on a number of NIH-funded projects. He also has served as a statistical reviewer for a number of scientific research journals.