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Edna Schechtman

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This is an old revision of this page, as edited by Musicant.oren (talk | contribs) at 15:11, 7 February 2019 (→Edna Schechtman: new section). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

  • Comment: Only one source is cited in the article, so more reliable sources are needed there.
    I don't know if this would meet notability for professors. According to WP:NPROF:
    Response: Many resources for Professor Schechtman academic work and contribution were added in this version of the Wikipedia article. These resources supply independent evidence to the importance of her work.
    Response:
    Academics/professors meeting any one of the following conditions, as substantiated through reliable sources, are notable. Academics/professors meeting none of these conditions may still be notable if they meet the conditions of WP:BIO or other notability criteria, and the merits of an article on the academic/professor will depend largely on the extent to which it is verifiable. Before applying these criteria, see the General notes and Specific criteria notes sections, which follow.
    Response: As the reviewer suggested, Professor Schechtman is a notable researcher in the field of statistics: She was the President of the Israel Statistical Association (Criteria #3). Professor Schechtman also had an impact in her scholarly discipline (Gini Methodology - Criteria #1) as demonstrated in many scientific papers (some examples were added) and in her book that summarises years of work and provide researchers, students and academic institutes with easy access for learning and using new GMD based tools.
    :1. The person's research has had a significant impact in their scholarly discipline, broadly construed, as demonstrated by independent reliable sources.
    :2. The person has received a highly prestigious academic award or honor at a national or international level.
    :3. The person is or has been an elected member of a highly selective and prestigious scholarly society or association (e.g., a National Academy of Sciences or the Royal Society) or a fellow of a major scholarly society which reserves fellow status as a highly selective honor (e.g., Fellow of the IEEE).[1]
    :4. The person's academic work has made a significant impact in the area of higher education, affecting a substantial number of academic institutions.
    :5. The person holds or has held a named chair appointment or distinguished professor appointment at a major institution of higher education and research (or an equivalent position in countries where named chairs are uncommon).
    :6. The person has held a highest-level elected or appointed administrative post at a major academic institution or major academic society.
    :7. The person has had a substantial impact outside academia in their academic capacity.
    :8. The person is or has been the head or chief editor of a major, well-established academic journal in their subject area.
    :9. The person is in a field of literature (e.g., writer or poet) or the fine arts (e.g., musician, composer, artist), and meets the standards for notability in that art, such as WP:CREATIVE or WP:MUSIC.
    I'd say that she may meet #4 on the list, and her time as president of the Israeli Statistical Association might meet #3, but I'm not positive. Bkissin (talk) 13:41, 13 September 2018 (UTC)
Edna Schechtman
Born (1948-07-09) July 9, 1948 (age 76)
Jerusalem
NationalityIsraeli
Known forDevelopment of statistical tools that utilize the Gini Mean Difference (GMD) as the measure of association
Scientific career
FieldsApplied statistics, mainly in biology and medicine. Theoretical statistics: calibration, measures of association, Gini coefficient for inequality, stratification of populations.
InstitutionsBen-Gurion University of the Negev
Doctoral advisorDouglas Wolfe

Edna Schechtman (Hebrew:עדנה שכטמן) is an Israeli statistician, a Professor Emeritus of Statistics at the Department of Industrial Engineering and Management, Ben-Gurion University of the Negev. She is best known for development (with Shlomo Yitzhaki) of statistical tools that utilize the Gini Mean Difference (GMD)[2][3][4] (also known as the absolute mean difference and mean absolute difference) as the measure of association.

Career

Schechtman completed her PhD in Statistics at Ohio State University in 1980, under the supervision of Professor Douglas Wolfe, on the topic: “A Nonparametric Test for the Changepoint Problem”[5]. In 1996 she joined the Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Israel. She served as the President of the Israel Statistical Association (2009-2011) and was the Head of the Department of Industrial Engineering and Management, Ben-Gurion University of the Negev (2012-2015). She also established the Center for Statistical Consulting [6] at Ben-Gurion University of the Negev. She was a visiting associate professor at several academic institutions, among them University of Texas, Texas A&M University, New York University and the University of California, Berkely. She retired from Ben-Gurion University as a Professor Emeritus in 2017.

Research

Schechtman’s scientific work combines theoretical research in statistical methodology with applied research. In applied statistics, her research focuses mainly on biostatistics[7][8][9][10][11][12], including studies on Parkinson disease[13][14][15][16][17][18][19][20], and road safety[21][22][23][24][25][26]. Schechtman’s methodological work focuses on measures of association[27][28], Gini coefficient for inequality[29][30][31][32], and stratification of populations[33][34]. One of her major contributions is the development of a framework which relies on the Gini Mean Difference (GMD) as the measure of variability, instead of the variance [35][36][37][38]. Schechtman has conducted research projects for over 35 years and has published over 120 articles and scientific reports, including the book The Gini Methodology: A Primer on a Statistical Methodology, coauthored with Shlomo Yitzhaki, published in 2013.[39]

Book: The Gini Methodology: A Primer on a Statistical Methodology

First introduced by Corrado Gini in 1912 as an alternative measure of variability, the GMD and its variants (such as the Gini coefficient or the concentration ratio) have been in widespread use in the studies of the income distribution. In their book, Prof. Edna Schechtman and Prof. Shlomo Yitzhaki present GMD statistical tools that replace variance with the GMD and its variants. These new GMD based tools are most justified whenever the researcher cannot conveniently assume a normal distribution of variables under study and used common statistical tools as analysis of correlation, analysis of variance. This makes the GMD and the tools developed by Prof. Edna Schechtman and Prof. Shlomo Yitzhaki of critical importance in the complex research of statisticians, economists, econometricians, and policymakers.

Highly cited articles

1. Schechtman, E. (2002). Odds ratio, relative risk, absolute risk reduction, and the number needed to treat—which of these should we use?. Value in health, 5(5), 431-436.
2. Davison, A., Hinkley, D. V., & Schechtman, E. (1986). Efficient bootstrap simulation. Biometrika, 73(3), 555-566.
3. Local injury to the endometrium doubles the incidence of successful pregnancies in patients undergoing in vitro fertilization
4. Paz-Elizur, T., Krupsky, M., Blumenstein, S., Elinger, D., Schechtman, E., & Livneh, Z. (2003). DNA repair activity for oxidative damage and risk of lung cancer. Journal of the National Cancer Institute, 95(17), 1312-1319.
5. Shinar, D., Schechtman, E., & Compton, R. (2001). Self-reports of safe driving behaviors in relationship to sex, age, education and income in the US adult driving population. Accident Analysis & Prevention, 33(1), 111-116.

Personal life

Schechtman was born in Israel to her parents, Malka and Reuven Ziegler who immigrated from Poland to Israel in 1946 with her brother, Zvi Ziegler. The family settled in Jerusalem and then moved to Haifa in 1948. She is married to Gideon Schechtman, a Mathematician at the Weizmann Institute of Science, and is a mother to four children and a grandmother to nine.

References

  1. ^ See "IEEE Fellows Elected as of 1 January 1975". 2017. Retrieved 13 September 2017.
  2. ^ Yitzhaki, Shlomo; Schechtman, Edna (2013). The Gini Methodology: A Primer on a Statistical Methodology. Springer. ISBN 978-1-4614-4720-7.
  3. ^ Yitzhaki, Shlomo (1998). "More than a Dozen Alternative Ways of Spelling Gini" (PDF). Economic Inequality. 8: 13–30.
  4. ^ Yitzhaki, Shlomo (2003). "Gini's Mean Difference: A Superior Measure of Variability for Non-Normal Distributions" (PDF). Metron International Journal of Statistics. 61 (2): 285–316.
  5. ^ Wolfe, D. A., & Schechtman, E. (1984). Nonparametric statistical procedures for the changepoint problem. Journal of Statistical Planning and Inference, 9(3), 389-396.
  6. ^ http://in.bgu.ac.il/en/osr/Pages/news/Statistics%20Consulting%20Uni.aspx
  7. ^ Schechtman, E., & Sherman, M. (2007). The two-sample t-test with a known ratio of variances. Statistical Methodology, 4(4), 508-514.
  8. ^ Schechtman, E. (1982). A nonparametric test for detecting changes in location. Communications in Statistics-Theory and Methods, 11(13), 1475-1482.
  9. ^ Hinkley, D., & Schechtman, E. (1987). Conditional bootstrap methods in the mean-shift model. Biometrika, 74(1), 85-93.
  10. ^ Davison, A., Hinkley, D. V., & Schechtman, E. (1986). Efficient bootstrap simulation. Biometrika, 73(3), 555-566.
  11. ^ Schechtman, E. (2002). Odds ratio, relative risk, absolute risk reduction, and the number needed to treat—which of these should we use?. Value in health, 5(5), 431-436.
  12. ^ Wolfe, D. A., & Schechtman, E. (1984). Nonparametric statistical procedures for the changepoint problem. Journal of Statistical Planning and Inference, 9(3), 389-396.
  13. ^ Inzelberg, R., Carasso, R. L., Schechtman, E., & Nisipeanu, P. (2000). A comparison of dopamine agonists and catechol-O-methyltransferase inhibitors in Parkinson's disease. Clinical neuropharmacology, 23(5), 262-266.
  14. ^ Inzelberg, R., Schechtman, E., & Paleacu, D. (2002). Onset age of Parkinson disease. American journal of medical genetics, 111(4), 459-460.
  15. ^ Inzelberg, R., Plotnik, M., Flash, T., Schechtman, E., Shahar, I., & Korczyn, A. D. (2001). Mental and motor switching in Parkinson's disease. Journal of motor behavior, 33(4), 377-385.
  16. ^ Inzelberg, R., Cohen, O. S., Aharon-Peretz, J., Schlesinger, I., Gershoni-Baruch, R., Djaldetti, R., ... & Inzelberg, L. (2012). The LRRK2 G2019S mutation is associated with Parkinson disease and concomitant non-skin cancers. Neurology, WNL-0b013e318249f673.
  17. ^ Inzelberg, R., Schechtman, E., & Nisipeanu, P. (2003). Cabergoline, pramipexole and ropinirole used as monotherapy in early Parkinson’s disease. Drugs & Aging, 20(11), 847-855.
  18. ^ Inzelberg, R., P. Nisipeanu, J. M. Rabey, E. Orlov, T. Catz, S. Kippervasser, E. Schechtman, and A. D. Korczyn. "Double-blind comparison of cabergoline and bromocriptine in Parkinson's disease patients with motor fluctuations." Neurology 47, no. 3 (1996): 785-788.
  19. ^ Inzelberg, R., Bonuccelli, U., Schechtman, E., Miniowich, A., Strugatsky, R., Ceravolo, R., ... & Rabey, J. M. (2006). Association between amantadine and the onset of dementia in Parkinson's disease. Movement disorders: official journal of the Movement Disorder Society, 21(9), 1375-1379.
  20. ^ Inzelberg, R., P. Nisipeanu, J. M. Rabey, E. Orlov, T. Catz, S. Kippervasser, E. Schechtman, and A. D. Korczyn. "Double-blind comparison of cabergoline and bromocriptine in Parkinson's disease patients with motor fluctuations." Neurology 47, no. 3 (1996): 785-788.
  21. ^ Musicant, O., Bar-Gera, H., & Schechtman, E. (2010). Electronic records of undesirable driving events. Transportation research part F: traffic psychology and behaviour, 13(2), 71-79.
  22. ^ Shinar, D., & Schechtman, E. (2005). Drug identification performance on the basis of observable signs and symptoms. Accident Analysis & Prevention, 37(5), 843-851.
  23. ^ Schechtman, E., Shinar, D., & Compton, R. C. (1999). The relationship between drinking habits and safe driving behaviors. Transportation research part F: traffic psychology and behaviour, 2(1), 15-26.
  24. ^ Shinar, D., Schechtman, E., & Compton, R. (1999). Trends in safe driving behaviors and in relation to trends in health maintenance behaviors in the USA: 1985–1995. Accident Analysis & Prevention, 31(5), 497-503.
  25. ^ Shinar, D., & Schechtman, E. (2002). Headway feedback improves intervehicular distance: A field study. Human Factors, 44(3), 474-481.
  26. ^ Shinar, D., Schechtman, E., & Compton, R. (2001). Self-reports of safe driving behaviors in relationship to sex, age, education and income in the US adult driving population. Accident Analysis & Prevention, 33(1), 111-116.
  27. ^ Schechtman, E., & Yitzhaki, S. (1987). "A measure of association based on Gini's mean difference". Communications in Statistics, Theory and Methods. 16: 207–231.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  28. ^ Schechtman E., & Shelef A. (2018). "Correlation and the time interval over which the variables are measured – A non-parametric approach". PLoS ONE. 13(11): e0206929.
  29. ^ Eubank, R., Schechtman, E., & Yitzhaki, S. (1993). A test for second order stochastic dominance. Communications in Statistics-Theory and Methods, 22(7), 1893-1905.
  30. ^ Schechtman, E., Yitzhaki, S., & Artsev, Y. (2008). Who does not respond in the household expenditure survey: An exercise in extended Gini regressions. Journal of Business & Economic Statistics, 26(3), 329-344.
  31. ^ Schechtman, E., & Yitzhaki, S. (2004). The Gini Instrumental Variable, or the “double instrumental variable” estimator. Metron, 287-313.
  32. ^ Frick, J. R., Goebel, J., Schechtman, E., Wagner, G. G., & Yitzhaki, S. (2006). Using analysis of Gini (ANOGI) for detecting whether two subsamples represent the same universe: The German Socio-Economic Panel Study (SOEP) experience. Sociological Methods & Research, 34(4), 427-468.
  33. ^ Schechtman, E., & Wang, S. (2004). Jackknifing two-sample statistics. Journal of Statistical Planning and Inference, 119(2), 329-340.
  34. ^ Schechtman, E. (1982). A nonparametric test for detecting changes in location. Communications in Statistics-Theory and Methods, 11(13), 1475-1482.
  35. ^ Yitzhaki, S., & Schechtman, E. (2012). Identifying monotonic and non-monotonic relationships. Economics Letters, 116(1), 23-25.
  36. ^ Schechtman, E., & Yitzhaki, S. (2003). A family of correlation coefficients based on the extended Gini index. The Journal of Economic Inequality, 1(2), 129-146.
  37. ^ Yitzhaki, S., & Schechtman, E. (2005). The properties of the extended Gini measures of variability and inequality.
  38. ^ Schechtman, E., & Yitzhaki, S. (1999). On the proper bounds of the Gini correlation. Economics letters, 63(2), 133-138.
  39. ^ Yitzhaki, Shlomo; Schechtman, Edna (2013). The Gini Methodology: A Primer on a Statistical Methodology. Springer. ISBN 978-1-4614-4720-7.

Further reading

  • Ka, Ndéné; Mussard, Stéphane (June 2015). "Book Review of The Gini Methodology: A Primer on a Statistical Methodology". Journal of Economic Inequality. 13 (2): 321–324. doi:10.1007/s10888-014-9277-8.
  • "Book Reviews". Technometric. 57 (4): 586–593. November 2015. doi:10.1080/00401706.2015.1106893.


A second version of the article named "Edna Schechtman"

We thank the reviewer for his useful comments. We have used them to enrich our Wikipedia article as follows:

(1)  : Many resources for Professor Schechtman academic work and contribution were added in this version of the Wikipedia article. These resources supply independent evidence to the importance of her work.

(2) We have added sections about the “most cited articles” and for Professor Schechtman book: These independent resources emphasise her impact on the Gini Methodology scholarly discipline (Criteria #1 for notable researchers).

(3) As the reviewer suggested Professor Schechtman is a notable researcher in the field of statistics – She was the president of the Israel Statistical Association (Criteria #3 for notable researchers).

We hope that the reviewer will find the current version of the paper suitable for publication in Wikipedia.

Edna Schechtman


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