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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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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2013
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| Soggetti: | |
| Accesso online: | 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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