
Scott J. Richter
Professor · Non-Parametric Methods
University of North Carolina at GreensboroAbout
Scott J. Richter is a Professor and Department Head in the Department of Mathematics and Statistics at the University of North Carolina at Greensboro (UNCG), where he also directs the Statistical Consulting Center. He holds a Ph.D. in Statistics from Oklahoma State University (1997) and has been at UNCG since 2001. His research focuses on nonparametric methods, multivariate analysis, and statistical consulting, with applications in healthcare, ecology, and public health.
Education: Ph.D. in Statistics, Oklahoma State University (1997).
Research interests include nonparametric statistical methods, multivariate analysis, and interdisciplinary collaborations. His recent work spans topics such as adaptive statistical testing designs, nutrition training in medical education, and the impact of mask mandates on pandemic outcomes. He has advised numerous graduate students in statistics and informatics.
Teaching includes courses like Statistical Methods for Data Analytics, SAS System for Statistical Analysis, and Statistical Consulting. His publications reflect expertise in statistical theory, biostatistics, and applied research across disciplines.
He leads the Statistical Consulting Center, offering support for research design and data analysis across UNCG. No scientific awards are explicitly mentioned in the provided texts, but his extensive publication record and leadership roles highlight his contributions to the field.
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