Cluster designs to assess the prevalence of acute malnutrition by lot quality assurance sampling: a validation study by computer simulation

Traditional lot quality assurance sampling (LQAS) methods require simple random sampling to guarantee valid results. However, cluster sampling has been proposed to reduce the number of random starting points. This study uses simulations to examine the classification error of two such designs, a 67×3...

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Detalles Bibliográficos
Autores principales: Olives, Casey, Pagano, Marcello, Deitchler, Megan, Hedt, Bethany L, Egge, Kari, Valadez, Joseph J
Formato: Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2009
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2784900/
https://www.ncbi.nlm.nih.gov/pubmed/20011037
http://dx.doi.org/10.1111/j.1467-985X.2008.00572.x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2784900/
https://www.ncbi.nlm.nih.gov/pubmed/20011037
http://dx.doi.org/10.1111/j.1467-985X.2008.00572.x

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