Ruth Mickey
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[edit]
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[edit]
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]
References[edit]
- ^ Birthdate from German National Library catalog entry, retrieved 2022-09-04
- ^ Mickey, Ruth M.; Greenland, Sander (January 1989), "The impact of confounder selection criteria on effect estimation", American Journal of Epidemiology, 129 (1): 125–137, doi:10.1093/oxfordjournals.aje.a115101
- ^ "About the author", Publisher web page for Bayesian Statistics for Beginners, Oxford University Press, retrieved 2022-09-04
- ^ "Ruth Mickey, Professor Emerita", Profiles, University of Vermont College of Engineering and Mathematical Sciences, retrieved 2022-09-04
- ^ "Graduates 1983-1992", Biostatistics, UCLA Fielding School of Public Health, retrieved 2022-09-04
- ^ Reviews of Applied Statistics (3rd ed.):
- Amin, Raid W. (November 2004), Technometrics, 46 (4): 491–492, JSTOR 25470909
{{citation}}: CS1 maint: untitled periodical (link) - Ursianu, Emiliana, zbMATH, Zbl 1059.62075
{{citation}}: CS1 maint: untitled periodical (link) - The American Statistician, 58 (3): 262, August 2004, JSTOR 27643573
{{citation}}: CS1 maint: untitled periodical (link)
- Amin, Raid W. (November 2004), Technometrics, 46 (4): 491–492, JSTOR 25470909
- ^ Reviews of Bayesian Statistics for Beginners:
- Blumberg, Carol Joyce (May 2020), International Statistical Review, 88 (2): 514–515, doi:10.1111/insr.12382
{{citation}}: CS1 maint: untitled periodical (link) - Nishimura, Hirokazu, zbMATH, Zbl 1416.62008
{{citation}}: CS1 maint: untitled periodical (link) - Perezgonzalez, Jose D. (May 2020), Frontiers in Psychology, 11, doi:10.3389/fpsyg.2020.01017, PMC 7248406
{{citation}}: CS1 maint: untitled periodical (link) - Saucier, Taylor (June 2020), The Journal of Wildlife Management, 84 (8): 1619–1620, doi:10.1002/jwmg.21915
{{citation}}: CS1 maint: untitled periodical (link)
- Blumberg, Carol Joyce (May 2020), International Statistical Review, 88 (2): 514–515, doi:10.1111/insr.12382
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