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Aggregating multiple test results to improve medical decision-making.

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...

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Main Authors: Lucas Böttcher, Maria R D'Orsogna, Tom Chou
Format: Artigo
Jezik:Inglês
Izdano: Public Library of Science (PLoS) 2025-01-01
Serija:PLoS Computational Biology
Online dostop:https://doi.org/10.1371/journal.pcbi.1012749
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