ERIC Number: EJ1164875
Record Type: Journal
Publication Date: 2017
Pages: 6
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-1069-1898
EISSN: N/A
Twin Data That Made a Big Difference, and That Deserve to Be Better-Known and Used in Teaching
Campbell, Harlan; Hanley, James A.
Journal of Statistics Education, v25 n3 p131-136 2017
Because 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.
Descriptors: Statistics, 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
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: North America; Europe; Africa
Grant or Contract Numbers: N/A