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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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| Main Authors: | , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2013
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| Fag: | |
| Online adgang: | 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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