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Choosing a design to fit the situation: how to improve specificity and positive predictive values using Bayesian lot quality assurance sampling
Background Lot Quality Assurance Sampling (LQAS) is a provably useful tool for monitoring health programmes. Although LQAS ensures acceptable Producer and Consumer risks, the literature alleges that the method suffers from poor specificity and positive predictive values (PPVs). We suggest that poor...
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| Main Authors: | , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Oxford University Press
2013
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3600627/ https://ncbi.nlm.nih.gov/pubmed/23378151 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/ije/dys230 |
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