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The Effect of Case Rate and Coinfection Rate on the Positive Predictive Value of a Registry Data-Matching Algorithm

OBJECTIVE: Statistical modeling has suggested that the prevalence of false matches in data matching declines as the events become rarer or the number of matches increases. We examined the effect of case rate and coinfection rate in the population on the positive predictive value (PPV) of a matching...

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Detalhes bibliográficos
Main Authors: Xia, Qiang, Braunstein, Sarah L., Stadelmann, Laura E., Pathela, Preeti, Torian, Lucia V.
Formato: Artigo
Idioma:Inglês
Publicado em: Association of Schools of Public Health 2014
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3862993/
https://ncbi.nlm.nih.gov/pubmed/24385653
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