Improving statistical analysis of matched case-control studies

Conway, Aaron, Rolley, John X., Fulbrook, Paul, Page, Karen, & Thompson, David R. (2013) Improving statistical analysis of matched case-control studies. Research in Nursing & Health, 36(3), pp. 320-324.

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Abstract

Matched case–control research designs can be useful because matching can increase power due to reduced variability between subjects. However, inappropriate statistical analysis of matched data could result in a change in the strength of association between the dependent and independent variables or a change in the significance of the findings. We sought to ascertain whether matched case–control studies published in the nursing literature utilized appropriate statistical analyses. Of 41 articles identified that met the inclusion criteria, 31 (76%) used an inappropriate statistical test for comparing data derived from case subjects and their matched controls. In response to this finding, we developed an algorithm to support decision-making regarding statistical tests for matched case–control studies.

Impact and interest:

4 citations in Scopus
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4 citations in Web of Science®

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ID Code: 61449
Item Type: Journal Article
Refereed: Yes
Keywords: Nursing research, statistics, matching, case-control
DOI: 10.1002/nur.21536
ISSN: 0160-6891
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > STATISTICS (010400)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > NURSING (111000)
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Nursing
Deposited On: 22 Jul 2013 01:56
Last Modified: 22 Jul 2013 21:57

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