STAR 514 - Experimental Design/Analysis for Researchers

  • 2 credits

Analysis of variance, covariance, randomized block, latin square, factorial, balanced and unbalanced designs. Applications to agriculture, biosciences. Implementation in R and JMP.

Prerequisite

STAT 511A (Design and Data Analysis for Researchers I: R Software) or STAT 511B (Design and Data Analysis for Researchers I: SAS Software). Credit not allowed for both STAR 514 and STAT 580A4.

Instructors

Benjamin Shaby

Ben.Shaby@colostate.edu

Dr. Shaby is an Associate Professor of Statistics at Colorado State University who develops statistical theory and methods to study extreme weather events and high-throughput biological experiments. He works with climate scientists, hydrologists, and wildfire scientists in academia and government to understand and mitigate the risks associated with rare, high-impact events. Dr. Shaby was the recipient of a National Science Foundation CAREER award in 2018 and the American Statistical Association Section on Statistics and the Environment's Early Career Investigator Award in 2016. He completed his Ph.D. at Cornell University in 2009 and held postdoctoral appointments at Duke University and UC Berkeley.

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