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Logo of emermedjEmergency Medical JournalCurrent TOCInstructions to authors
Emerg Med J. Mar 2005; 22(3): 180–181.
PMCID: PMC1726700

Simple nomograms to calculate sample size in diagnostic studies

Abstract

Objectives: To produce an easily understood and accessible tool for use by researchers in diagnostic studies. Diagnostic studies should have sample size calculations performed, but in practice, they are performed infrequently. This may be due to a reluctance on the part of researchers to use mathematical formulae.

Methods: Using a spreadsheet, we derived nomograms for calculating the number of patients required to determine the precision of a test's sensitivity or specificity.

Results: The nomograms could be easily used to determine the sensitivity and specificity of a test.

Conclusions: In addition to being easy to use, the nomogram allows deduction of a missing parameter (number of patients, confidence intervals, prevalence, or sensitivity/specificity) if the other three are known. The nomogram can also be used retrospectively by the reader of published research as a rough estimating tool for sample size calculations.

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Supplementary Material

[Figure 1: Larger version]

Selected References

These references are in PubMed. This may not be the complete list of references from this article.
  • Jones SR, Carley S, Harrison M. An introduction to power and sample size estimation. Emerg Med J. 2003 Sep;20(5):453–458. [PMC free article] [PubMed]
  • Buderer NM. Statistical methodology: I. Incorporating the prevalence of disease into the sample size calculation for sensitivity and specificity. Acad Emerg Med. 1996 Sep;3(9):895–900. [PubMed]
  • Arkin CF, Wachtel MS. How many patients are necessary to assess test performance? JAMA. 1990 Jan 12;263(2):275–278. [PubMed]

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