A grey zone for quantitative diagnostic and screening tests | Zendy

Joël Coste | Zendy; J. Pouchot | Zendy

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A grey zone for quantitative diagnostic and screening tests

Author(s) -

Joël Coste,

J. Pouchot

Publication year - 2003

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dyg054

Subject(s) - statistics , context (archaeology) , medicine , mathematics , computer science , biology , paleontology

Most quantitative tests do not perfectly discriminate between subjects with and without a given disease and their results do not always allow certainty about disease status for diagnostic or screening purposes. We propose a method to construct a three-zone partition for quantitative tests to avoid the binary constraint of a 'black or white' decision that often does not fit the reality of clinical or screening practice. This partition intentionally includes a grey zone between positive and negative conclusions.

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