Improving statistical analysis of matched case-control studies

Conway, Aaron, Rolley, John X., Fulbrook, Paul, Page, Karen and Thompson, David R. (2013) Improving statistical analysis of matched case-control studies. Research In Nursing and Health, 36 3: 320-324. doi:10.1002/nur.21536

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Author Conway, Aaron
Rolley, John X.
Fulbrook, Paul
Page, Karen
Thompson, David R.
Title Improving statistical analysis of matched case-control studies
Journal name Research In Nursing and Health   Check publisher's open access policy
ISSN 0160-6891
1098-240X
Publication date 2013-01-14
Year available 2013
Sub-type Article (original research)
DOI 10.1002/nur.21536
Open Access Status
Volume 36
Issue 3
Start page 320
End page 324
Total pages 5
Place of publication Hoboken, NJ, United States
Publisher John Wiley and Sons
Collection year 2014
Language eng
Formatted 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.
Keyword Case Control Studies
Nursing research methods
Matching
Statistics
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Nursing, Midwifery and Social Work Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 4 times in Scopus Article | Citations
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Created: Wed, 17 Apr 2013, 13:21:42 EST by Vicki Percival on behalf of School of Nursing, Midwifery and Social Work