Arlene Ash

Arlene Sandra Ash is an American statistician who works on risk adjustment in health services. She is a professor of Quantitative Health Sciences in the University of Massachusetts Medical School, and chief of the Biostatistics and Health Services Research division there.[1]

Ash did her undergraduate studies in mathematics at Harvard College. She earned a master's degree in mathematics from Washington University in St. Louis, and a PhD in statistics from the University of Illinois at Chicago.[1] Ash taught mathematics in the Peace Corps in the 1960s, helped start two feminist health centers in Chicago in the 1970s, and founded a company, DxCG Inc., to apply her risk adjustment models. Since 1978, she has been involved as an expert witness in public policy issues, including the environmental impact of a nuclear power plant and equity in pay for women teachers. Before joining the University of Massachusetts she taught at Boston University.[2]

Beyond health, Ash is also interested in electoral integrity, and has chaired the American Statistical Association Subcommittee on Electoral Integrity.[2][3] She has also been involved in the anti-nuclear movement and has worked for equal pay for women.[2]

She was President of the Caucus for Women in Statistics in 1986. She became a fellow of the American Statistical Association[1] in 1998 and is an elected member of the International Statistical Institute.[4] In 2010 she won the Long-Term Excellence Award of the American Statistical Association Section on Health Policy Statistics.[3]

References

  1. "Arlene S Ash PhD", UMass Profiles, University of Massachusetts Medical School, retrieved 2017-10-20
  2. Snider, Valerie (September 2007), "Arlene Sandra Ash" (PDF), Statisticians in History, Amstat News, pp. 4–5, archived from the original (PDF) on 2017-10-21, retrieved 2017-10-20
  3. Dr. Arlene Ash receives Long-Term Excellence Award from the ASA, University of Massachusetts Medical School, archived from the original on 2017-10-21, retrieved 2017-10-20
  4. Individual members, International Statistical Institute, archived from the original on 2017-07-29, retrieved 2018-12-18
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