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Validating Quantitative Diagnostic Tests

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Statistics Applied to Clinical Trials
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Clinical research is impossible without valid diagnostic tests. The methods for validating qualitative diagnostic tests include sensitivity / specificity assessments and ROC (receiver operated characteristic) curves, and are generally accepted. 1–4 In contrast, the methods for validating quantitative diagnostic tests have not been agreed upon by the scientific community.4 This paper, using real data examples, reviews the advantages and disadvantages of various methods that could be used for that purpose.

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References

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© 2009 Springer Science + Business Media B.V.

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(2009). Validating Quantitative Diagnostic Tests. In: Cleophas, T.J., Zwinderman, A.H., Cleophas, T.F., Cleophas, E.P. (eds) Statistics Applied to Clinical Trials. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-9523-8_36

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