Biography:Ruth Mickey

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Short description: American statistician

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]

References

  1. ↑ Birthdate from German National Library catalog entry, retrieved 2022-09-04
  2. ↑ 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 
  3. ↑ "About the author", Publisher web page for Bayesian Statistics for Beginners (Oxford University Press), https://global.oup.com/ukhe/product/bayesian-statistics-for-beginners-9780198841302, retrieved 2022-09-04 
  4. ↑ "Ruth Mickey, Professor Emerita", Profiles (University of Vermont College of Engineering and Mathematical Sciences), https://www.uvm.edu/cems/mathstat/profiles/ruth_mickey, retrieved 2022-09-04 
  5. ↑ "Graduates 1983-1992", Biostatistics (UCLA Fielding School of Public Health), https://www.biostat.ucla.edu/grads-83-92, retrieved 2022-09-04 
  6. ↑ Reviews of Applied Statistics (3rd ed.):
    • Amin, Raid W. (November 2004), "none", Technometrics 46 (4): 491–492 
    • Ursianu, Emiliana, "none", zbMATH 
    • "none", The American Statistician 58 (3): 262, August 2004 
  7. ↑ Reviews of Bayesian Statistics for Beginners:
    • Blumberg, Carol Joyce (May 2020), "none", International Statistical Review 88 (2): 514–515, doi:10.1111/insr.12382 
    • Nishimura, Hirokazu, "none", zbMATH 
    • Perezgonzalez, Jose D. (May 2020), "none", Frontiers in Psychology 11, doi:10.3389/fpsyg.2020.01017 
    • Saucier, Taylor (June 2020), "none", The Journal of Wildlife Management 84 (8): 1619–1620, doi:10.1002/jwmg.21915 



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