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Covariate adjustment in estimating the area under ROC curve with partially missing gold standard

In ROC analysis, covariate adjustment is advocated when the covariates impact the magnitude or accuracy of the test under study. Meanwhile, for many large scale screening tests, the true condition status may be subject to missingness because it is expensive and/or invasive to ascertain the disease s...

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Detalhes bibliográficos
Main Authors: Liu, Danping, Zhou, Xiao-Hua
Formato: Artigo
Idioma:Inglês
Publicado em: 2013
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3622116/
https://ncbi.nlm.nih.gov/pubmed/23410529
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12001
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