Sample Size under Inverse Negative Binomial Group Testing for Accuracy in Parameter Estimation
- Montesinos-López Osval Antonio
- Montesinos-López Abelardo
- Crossa José
- Eskridge Kent
DOIAbstract
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... With the Monte Carlo study we found that the computational Wald procedure (method 2) produces the more precise sample size (with coverage and assurance levels very close to nominal values) and that the samples size based on...
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