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    <!-- http://purl.obolibrary.org/obo/STATO_0000607 -->

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        <rdfs:label>proportion</rdfs:label>
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    <!-- http://purl.obolibrary.org/obo/STATO_0000619 -->

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        <rdfs:label>negative predictive value</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://purl.obolibrary.org/obo/STATO_0000607"/>
        <ns2:IAO_0000117>Harold Lehmann, Ken Wilkins, Philippe Rocca-Serra, Joanne Dehnbostel</ns2:IAO_0000117>
        <ns2:IAO_0000119>COKA/SEVCO</ns2:IAO_0000119>
        <ns2:IAO_0000116>In a population of people with and without a disease, and a test which is positive (suggesting the disease) or negative (suggesting not having the disease), the negative predictive value is the proportion of true negatives (all people without the disease who test negative) within all the people with a negative test (true negatives plus false negatives). NPV = TN / (TN + FN).</ns2:IAO_0000116>
        <ns2:IAO_0000112></ns2:IAO_0000112>
        <ns2:IAO_0000115>A proportion in which the numerator represents the correctly non-detected items within the denominator that represents all items not detected.</ns2:IAO_0000115>
        <ns2:IAO_0000116>Expert Working Group Agreement: 2022-01-26 vote 8-0 by Robin Ann Yurk, Janice Tufte, Harold Lehmann, Philippe Rocca-Serra, Paola Rosati, Mario Tristan, Brian S. Alper, Jesus Lopez-Alcalde</ns2:IAO_0000116>
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