John Rice

John Rice is a Research Assistant Professor in the Department of Biostatistics at the University of Michigan School of Public Health. His academic appointments include prior service as an Assistant Professor at the Colorado School of Public Health starting in 2018.

His educational background:

• MSPH, Biostatistics, Emory University, 2010
• PhD, Biostatistics, University of Michigan, 2015

Dr. Rice specializes in developing advanced statistical methodologies for complex biomedical data structures. His core expertise lies in longitudinal and recurrent event data analysis, with significant contributions to semiparametric regression frameworks, renewal process modeling, and time-to-event outcomes under irregular observation conditions. He pioneers techniques for latent event process estimation using sparse binary data, inter-event dependence modeling, and semiparametric approaches for zero-inflated outcomes. His methodological innovations extend to stepped-wedge and cluster-randomized trial designs, particularly where outcomes are partially observed or aggregated. These methods directly address critical challenges in cancer research, critical care medicine, and public health applications, demonstrating rigorous theory-practice integration.

His scholarly impact is evidenced by recognition from the International Biometric Society and publication in leading statistical and applied journals.

Dr. Rice serves as a statistical collaborator on multiple federally funded initiatives including NIH and DoD-supported clinical trials, providing methodological leadership across diverse biomedical research domains. His collaborative work spans implementation of advanced statistical techniques in real-world clinical and public health settings.