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A model for adjusting for nonignorable verification bias in estimation of ROC curve and its area with likelihood-based approach
In estimation of the ROC curve, when the true disease status is subject to nonignorable missingness, the observed likelihood involves the missing mechanism given by a selection model. In this paper, we proposed a likelihood-based approach to estimate the ROC curve and the area under ROC curve when t...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2010
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3618959/ https://ncbi.nlm.nih.gov/pubmed/20222937 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2010.01397.x |
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