John S. Preisser, PhD
About
John Preisser, PhD, is a research professor in the Department of Biostatistics at the Gillings School of Global Public Health at the University of North Carolina at Chapel Hill (UNC) and deputy director of the biostatistics service with the North Carolina Translational & Clinical Sciences Institute (NC TraCS) where he directs the Carolina Pragmatic Trials Laboratory. He is a research fellow in the program on Aging, Disability, and Long-Term Care in the UNC Cecil G. Sheps Center for Health Services Research where he collaborates with experts in the field to conduct research that improves the care of the elderly in nursing homes and residential care facilities. Dr. Preisser is also deeply engaged in oral health research in the UNC School of Dentistry. These vibrant, multi-disciplinary, collaborative research environments motivate him to develop new statistical models and methods, and to promote state-of-art statistical analysis techniques that improve human health and welfare.
Honors and Awards
Elected Fellow
2010, American Statistical Association
Elected Member
2006, International Statistical Institute
Research Fellow of the Cecil G. Sheps Center for Health Services Research
2006-Present, University of North Carolina at Chapel Hill
James E. Grizzle Distinguished Alumnus Award
2001, University of North Carolina at Chapel Hill
Representative Courses
Models and Methodology in Categorical Data (BIOS 765), 2006-2020 (even years)
Research Activities
Service Activities
2022-present Serve on Data Safety and Monitoring Board for an NIA-funded study
2020-2023 Serve on Data Safety and Monitoring Board for a PCORI-funded study
2019-2022 Patient Centered Outcomes Research Institute Merit Reviewer of Funding Award Proposals
2018-2022 Serve on Data Safety and Monitoring Board for an NIDCR-funded study
2011-present Chair, Pranab K. Sen Distinguished Visiting Professorship Committee, Department of Biostatistics, UNC-Chapel Hill
Key Publications
Multiple Imputation for Partial Recording Periodontal Examination Protocols. Preisser JS, Shing T, Qaqish B, Divaris K, Beck J (2024). JDR Clinical and Translational Research, 9(1), 52-60.
%CRTFASTGEEPWR: A SAS macro for power of generalized estimating equations analysis of multi-period cluster randomized trials with application to stepped wedge designs. Zhang Y, Preisser JS, Li F, Turner EL, Rathouz PJ (2024). Journal of Statistical Software, Code Snippets, 108(1), 1-27.
View publication
GEEMAEE: A SAS macro for the analysis of correlated outcomes based on GEE and finite-sample adjustments with application to cluster randomized trials. Zhang Y, Preisser JS, Li F, Turner EL, Toles M, Rathouz PJ (2023). Computer Methods and Programs in Biomedicine,, 230(107362), Epub 2023 Jan 20.
A general method for calculating power for GEE analysis of complete and incomplete stepped wedge cluster randomized trials. Zhang Y, Preisser JS, Turner EL, Rathouz PJ, Toles M, Li F (2023). Statistical Methods in Medical Research, 32(1), 71-87.
Education
- PhD, Biostatistics, University of North Carolina at Chapel Hill, 1995
- MA, Statistics, Pennsylvania State University, 1988
- BS, Statistics, Virginia Tech, 1986