Summary
Sarah Schwartz is an applied statistician and Assistant Research Professor who directs Utah State University's Statistical Consulting Studio, bringing nearly two decades of consulting experience across dementia, hearing loss, nutrition, and Medicare research. She combines deep methodological expertise—sparse-data issues in generalized linear models, longitudinal and survival analysis, graphical methods, and exact logistic techniques—with hands-on data programming and workshop-based teaching. Sarah has supported multidisciplinary teams at USU, University of Utah, Johns Hopkins, Duke and others, contributing to grant proposals, publications, and complex data management for large collaborative studies. She supervises and trains graduate consultants and has developed practical resources such as an OMDS website and recurring R workshops to increase statistical capacity campus-wide. Currently completing a PhD focused on bias correction and sparse data problems, she blends rigorous research with pragmatic consulting to solve real-world analytic challenges. Colleagues value her ability to translate advanced methods into clear study designs, reproducible code, and publishable results.
9 years of coding experience
7 years of employment as a software developer
PhD, Statistics (Bias correction with Chris Corcoran), senior, PhD, Statistics (Bias correction with Chris Corcoran), senior at Utah State University
Brigham Young University-Idaho
English