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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...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
Main Authors: Olives, Casey, Pagano, Marcello
פורמט: Artigo
שפה:Inglês
יצא לאור: Oxford University Press 2013
נושאים:
גישה מקוונת: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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