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Autor/inn/enCampbell, Harlan; Hanley, James A.
TitelTwin Data That Made a Big Difference, and That Deserve to Be Better-Known and Used in Teaching
QuelleIn: Journal of Statistics Education, 25 (2017) 3, S.131-136 (6 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1069-1898
DOI10.1080/10691898.2017.1381055
SchlagwörterStatistics; Probability; Tables (Data); Epidemiology; Acquired Immunodeficiency Syndrome (AIDS); Research Methodology; Twins; Communicable Diseases; Mothers; Infants; Birth; Body Weight; Racial Differences; Drug Abuse; Sexually Transmitted Diseases; Geographic Location; Nutrition; Foreign Countries; Statistical Analysis; North America; Europe; Africa
AbstractBecause of their efficiency and ability to keep many other factors constant, twin studies have a special appeal for investigators. Just as with any teaching dataset, a "matched-sets" dataset used to illustrate a statistical model should be compelling, still relevant, and valid. Indeed, such a "model dataset" should meet the same tests for worthiness that news organization editors impose on their journalists: are the data new? Are they true? Do they matter? This article introduces and shares a twin dataset that meets, to a large extent, these criteria. In fact, while more than two decades old, the data are still widely cited today in ongoing related research. This dataset was the basis of a clever study that confirmed an inspired hunch, changed the way pregnancies in HIV-positive mothers are managed, and led to reductions in the rates of maternal-to-child transmission of HIV. (As Provided).
AnmerkungenTaylor & Francis. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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