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Assessing subgroup effects with binary data: can the use of different effect measures lead to different conclusions?

Overview of attention for article published in BMC Medical Research Methodology, April 2005
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Title
Assessing subgroup effects with binary data: can the use of different effect measures lead to different conclusions?
Published in
BMC Medical Research Methodology, April 2005
DOI 10.1186/1471-2288-5-15
Pubmed ID
Authors

Ian R White, Diana Elbourne

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Germany 1 4%
Unknown 21 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 35%
Professor > Associate Professor 4 17%
Professor 3 13%
Student > Ph. D. Student 3 13%
Other 1 4%
Other 2 9%
Unknown 2 9%
Readers by discipline Count As %
Medicine and Dentistry 9 39%
Mathematics 2 9%
Economics, Econometrics and Finance 1 4%
Social Sciences 1 4%
Nursing and Health Professions 1 4%
Other 1 4%
Unknown 8 35%