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Ruth Mickey

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

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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

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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

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  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, retrieved 2022-09-04
  4. ^ "Ruth Mickey, Professor Emerita", Profiles, University of Vermont College of Engineering and Mathematical Sciences, retrieved 2022-09-04
  5. ^ "Graduates 1983-1992", Biostatistics, UCLA Fielding School of Public Health, retrieved 2022-09-04
  6. ^ Reviews of Applied Statistics (3rd ed.):
  7. ^ Reviews of Bayesian Statistics for Beginners: