Selecting diagnostic tests for ruling out or ruling in disease: the use of the Kullback-Leibler distance | Zendy

WenChung Lee | Zendy

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Selecting diagnostic tests for ruling out or ruling in disease: the use of the Kullback-Leibler distance

Author(s) -

WenChung Lee

Publication year - 1999

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/28.3.521

Subject(s) - kullback–leibler divergence , test (biology) , statistics , computer science , data mining , artificial intelligence , mathematics , paleontology , biology

To select a proper diagnostic test, it is recommended that the most specific test be used to confirm (rule in) a diagnosis, and the most sensitive test be used to establish that a disease is unlikely (rule out). These rule-in and rule-out concepts can also be characterized by the likelihood ratio (LR). However, previous papers discussed only the case of binary tests and assumed test results already known.

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