Stephanie Zimmer is a research statistician in RTI’s Division of Statistics and Data Science. She is an expert in survey sampling relating to criminal justice, including working with law enforcement agencies, and conducting inmate studies. Her varied projects at RTI include responsibilities in sample design, data management, analysis, weighting, assisting on frame building activities, and overseeing sampling statisticians.
Dr. Zimmer conducts research regarding Address-Based Sampling and sampling design. In 2019 she presented the Joint Statistical Meetings for her work on Developing and evaluating a new metric for address-based sampling frame quality assessment. She is also an author of Extending the veil of darkness approach: An examination of racial disproportionality in traffic stops in Durham, NC, an article released in Police Quarterly. Dr. Zimmer has extensive experience with programming in R, SAS, and SUDAAN and teaches SUDAAN classes.
Prior to joining RTI, she completed her doctorate in Statistics at Iowa State University, where she worked in the Center for Survey Statistics and Methodology researching multivariate stratification algorithms. Outside of RTI Dr. Zimmer is a co-organizer of R-Ladies RTP, and organization dedicated to increasing the representation of women and gender minorities in the R community by providing mentorship, collaborative learning, and support. Stephanie Zimmer is also an active member of the NC chapter of the American Statistical Association.
