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

ABSTRACT:

Background

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.

Methodology/principal findings

This research proposes three sample size procedures (two computational and one analytic) for estimating prevalence using group testing under inverse (negative) binomial sampling. These methods provide the required numb

SUBMITTER: Montesinos-Lopez OA 

PROVIDER: S-EPMC3310835 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature