Aggregating multiple test results to improve medical decision-making
Aggregating multiple test results to improve medical decision-making
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United States: Public Library of Science
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Language
English
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United States: Public Library of Science
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Contents
Gathering observational data for medical decision-making often involves uncertainties arising from both type I (false positive) and type II (false negative) errors. In this work, we develop a statistical model to study how medical decision-making can be improved by aggregating results from repeated diagnostic and screening tests. Our approach is re...
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Aggregating multiple test results to improve medical decision-making
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TN_cdi_doaj_primary_oai_doaj_org_article_e3658e5c03cd4e80a0104088aedc7f3f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e3658e5c03cd4e80a0104088aedc7f3f
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ISSN
1553-7358,1553-734X
E-ISSN
1553-7358
DOI
10.1371/journal.pcbi.1012749