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Sample size under inverse negative binomial group testing for accuracy in parameter estimation

Autor: Montesinos-Lopez, O.A.
Autor: Montesinos-Lopez, A.
Autor: Crossa, J.
Autor: Kent Eskridge
Año: 2012
ISSN: No
URI: http://hdl.handle.net/10883/2243
Resumen: The group testing method has been proposed for the detection and estimation of genetically modified plants (adventitious presence of unwanted transgenic plants, AP). For binary response variables (presence or absence), group testing is efficient when the prevalence is low, so that estimation, detection, and sample size methods have been developed under the binomial model. However, when the event is rare (low prevalence <0.1), and testing occurs sequentially, inverse (negative) binomial pooled sampling may be preferred.
Lenguaje: English
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Tipo: Article
Región: Global
Paginas: e32250
No de Revista: 3
Revista: PLoS ONE
Volumen de la Revista: 7
DOI: 10.1371/journal.pone.0032250


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  • Socioeconomics
    Including topics such as farming systems, markets, impact & targeting, innovations, and GIS

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