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Monte Carlo studies of bootstrap variability in ROC analysis with data dependency

ROC analysis involving two large datasets is an important method for analyzing statistics of interest for decision making of a classifier in many disciplines. And data dependency due to multiple use of the same subjects exists ubiquitously in order to generate more samples because of limited resourc...

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Bibliografiske detaljer
Udgivet i:Commun Stat Simul Comput
Main Authors: Wu, Jin Chu, Martin, Alvin F., Kacker, Raghu N.
Format: Artigo
Sprog:Inglês
Udgivet: 2018
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7067283/
https://ncbi.nlm.nih.gov/pubmed/32165781
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/03610918.2018.1521974
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