The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Sample size calculation should be performed for design accuracy in diagnostic test studies
Open accessAbstract
BACKGROUND AND OBJECTIVES Guidelines for conducting studies and reading medical literature on diagnostic tests have been published: Requirements for the selection of cases and controls, and for ensuring a correct reference standard are now clarified. Our objective was to provide tables for sample size determination in this context. STUDY DESIGN AND SETTING In the usual situation, where the prevalence Prev of the disease of interest is <0.50, one first determines the minimal number Ncases of cases required to ensure a given precision of the sensitivity estimate. Computations are based on the binomial distribution, for user-specified type I and type II error levels. The minimal number N(controls) of controls is then derived so as to allow for representativeness of the study population, according to Ncontrols=Ncases [(1-Prev)/Prev]. RESULTS Tables give the values of Ncases corresponding to expected sensitivities from 0.60 to 0.99, acceptable lower 95% confidence limits from 0.50 to 0.98, and 5% probability of the estimated lower confidence limit being lower than the acceptable level. CONCLUSION When designing diagnostic test studies, sample size calculations should be performed in order to guarantee the design accuracy.
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Metadata
- Authors
- Flahault, A., Cadilhac, M., & Thomas, G.
- Venue
- Journal of Clinical Epidemiology
- Publisher
- Elsevier BV
- Published
- 2005-08
- Volume
- 58
- Issue
- 8
- Pages
- 859-862
- ISSN
- 0895-4356 (ISSN-L)
- OpenAlex
- W1995684439
- Cited by
- 468
- References
- 13
- FWCI
- 4.06
- Type
- journal article
- Language
- en
- Open access
- green
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