Efficiency of Case-Control Studies with Multiple Controls Per Case: Continuous or Dichotomous Data
Abstract
The statistical efficiency of a study design which matches each case with k controls is compared with that of the standard matched-pairs setup. For the situation in which the distribution of measurements on the factor under investigation is continuous, the comparison criterion used is the reciprocal of the variance ratio of the corresponding case-control difference estimators; for dichotomous observations, the Pitman efficiency of Miettinen's test [1969] or of Pike and Morrow's test [1970] relative to McNemar's test is used. When the variances for continuously distributed case and control measurements are equal to the same result, 2k/(k + 1), is obtained for both situations and, more generally, the efficiency of k1 controls relative to k2 controls is given by k1(k2 + 1)/k2(k1 + 1). The Pitman efficiency is compared with the "practical efficiency" for large-sample dichotomous situations.
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Selecting multiple controls per case increases the statistical power of an investigation by increasing the sample size, and precision may improve with up to about three or four controls per case.
“This method increases the “statistical power” of the investigation by increasing the sample size. The precision of the findings may improve by having up to about three or four controls per case.21-23”
From Observational studies: Cohort and case-control studies (2010) · cites this paper as [21]
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Statistical Aspects of the Analysis of Data From Retrospective Studies of Disease
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Note on the Sampling Error of the Difference Between Correlated Proportions or Percentages
McNemar, Q. (1947) · Psychometrika · doi:10.1007/bf02295996 · Cited by 4,754 · see citing works
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Observational studies: Cohort and case-control studies
Song, J. W., & Chung, K. C. (2010) · Plastic and Reconstructive Surgery · doi:10.1097/prs.0b013e3181f44abc · Cited by 948 · see citing works
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The nested case-control study in cardiology
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Sutton, A. J., Muir, K. R., Mockett, S., & Fentem, P. (2001) · Annals of the Rheumatic Diseases · doi:10.1136/ard.60.8.756 · Cited by 101 · see citing works
- Authors
- Ury, H. K.
- Corresponding author
- Ury, Hans K.
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1975-09
- Volume
- 31
- Issue
- 3
- Pages
- 643
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W2080716821
- Cited by
- 249
- References
- 2
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 7 · 2023: 6 · 2022: 8 · 2021: 7 · 2020: 9 · 2019: 6 · 2018: 8 · 2017: 8 · 2016: 8 · 2015: 15 · 2014: 23 · 2013: 8 · 2012: 7
- FWCI
- 0.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biometrics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Cancer Institute
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
- Keywords
- case-control study, paired design, statistical efficiency, Pitman efficiency, McNemar test, continuous data, dichotomous data, variance ratio, matched case-control studies
- MeSH terms
- Clinical Trials as Topic, Humans, Mathematics, Research Design, Sampling Studies, Statistics as Topic
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