Philip Dixon

Philip Dixon is a University Professor of Statistics at Iowa State University's Department of Statistics. His research focuses on developing statistical methods for ecological and environmental challenges, including spatial data analysis, equivalence testing, and computer-intensive techniques like bootstrapping. Collaborative projects include tracking monarch butterflies and analyzing climate impacts on crop yields. He teaches advanced statistical courses and consults on experimental design, environmental data analysis, and statistical computing. Dixon is actively involved in software development for R and SAS, emphasizing reproducible research practices. His work spans ecological, agricultural, and public health applications, with a strong emphasis on methodological innovation and practical solutions.