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A semi-parametric censoring bias model for estimating the cumulative risk of a false-positive screening test under dependent censoring

False-positive test results are among the most common harms of screening tests and may lead to more invasive and expensive diagnostic testing procedures. Estimating the cumulative risk of a false-positive screening test result after repeat screening rounds is therefore important for evaluating poten...

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Main Authors: Hubbard, Rebecca A., Miglioretti, Diana L.
格式: Artigo
語言:Inglês
出版: 2013
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC3622119/
https://ncbi.nlm.nih.gov/pubmed/23383717
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2012.01831.x
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