Cited by 249Statistical Methods in EpidemiologyStatistical Methods in Clinical TrialsOptimal Experimental Design Methods

Efficiency of Case-Control Studies with Multiple Controls Per Case: Continuous or Dichotomous Data

Ury, Hans K.·1975·Biometrics

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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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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