Janet D. Elashoff

Janet Dixon Elashoff is a retired American statistician, formerly the director of biostatistics for Cedars-Sinai Medical Center[1] and professor of biomathematics at the University of California, Los Angeles.[2]

Janet Dixon was the daughter of mathematician and statistician Wilfrid Dixon.[3] She completed her Ph.D. in statistics at Harvard University in 1966; her dissertation was Optimal Choice of Rater Teams.[1][4]

She became a faculty member in the Department of Education and Statistics at Stanford University.[5] With educational psychologist Richard E. Snow, she is the author of Pygmalion Reconsidered: A Case Study in Statistical Inference (C. A. Jones Publishing, 1971), a book on how teacher expectations affect student learning.[6] She served on the Analysis Advisory Committee of the National Assessment of Educational Progress beginning in the mid-1970s, and chaired the committee in 1982.[7]


While at UCLA and Cedars-Sinai, she wrote the program nQuery Advisor, widely used to estimate the sample size requirements for pharmaceutical testing, and spun off the company Statistical Solutions LLC to commercialize it.[8]

She has been a fellow of the American Statistical Association since 1978,[9] following in the steps of her father who was also a fellow.

References

  1. Harvard Statistics PhD Alumni, Harvard Statistics, retrieved 2017-10-24
  2. Author affiliation from Connecticut Medicine 54 (1): 26, January 1990,
  3. W. J. Dixon Award for Excellence in Statistical Consulting, American Statistical Association, retrieved 2017-10-24
  4. Janet D. Elashoff at the Mathematics Genealogy Project
  5. Author affiliation from Journal of the American Statistical Association 67 (338): 478, doi:10.2307/2284410
  6. Review of Pygmalion Reconsidered: John Lewis (September 1972), Journal of Teacher Education 23 (3): 409–410, doi:10.1177/002248717202300337.
  7. Fienberg, Stephen E.; Hoaglin, David C.; Kruskal, William H.; Tanur, Judith M., eds. (2012), A Statistical Model: Frederick Mosteller's Contributions to Statistics, Science, and Public Policy, Springer Series in Statistics, Springer, pp. 223–224, ISBN 9781461233848
  8. Chernick, Michael R.; Friis, Robert H. (2003), Introductory Biostatistics for the Health Sciences: Modern Applications Including Bootstrap, Wiley series in probability and statistics, John Wiley & Sons, p. 360, ISBN 9780471458654
  9. ASA Fellows, Caucus for Women in Statistics, March 29, 2016, retrieved 2017-10-24
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