Ruth Mickey
American statistician (born 1954)
From Wikipedia, the free encyclopedia
Ruth Mary Mickey (born 1954)[1] is a retired American statistician known for her research on feature selection to control the effects of confounding on statistical inference,[2] and on the applications of statistics to issues of public health and natural resources.[3] She is a professor emerita in the University of Vermont Department of Mathematics & Statistics.[4]
Education
Mickey earned a master's degree in public health at the University of California, Los Angeles (UCLA) in 1978, and completed a Ph.D. in biostatistics at UCLA in 1983.[5]
Books
Mickey is the coauthor of textbooks in statistics including:
- Applied Statistics: Analysis of Variance and Regression (with Olive Jean Dunn and Virginia A. Clark, Wiley, 3rd ed., 2004)[6]
- Bayesian Statistics for Beginners: A Step-by-Step Approach (with Therese M. Donovan, Oxford University Press, 2019)[7]