A regression model for pooled data in a two-stage survey under informative sampling with application for detecting and estimating the presence of transgenic corn

dc.creatorMontesinos-Lopez, O.A.
dc.creatorEskridge, K.
dc.creatorMontesinos-Lopez, A.
dc.creatorCrossa, J.
dc.creatorCortés-Cruz, M.A.
dc.creatorDong Wang
dc.date2021-07-10T00:10:15Z
dc.date2021-07-10T00:10:15Z
dc.date2016
dc.date.accessioned2023-07-17T20:07:50Z
dc.date.available2023-07-17T20:07:50Z
dc.identifierhttps://hdl.handle.net/10883/21567
dc.identifier10.1017/S0960258516000015
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7513348
dc.descriptionGroup-testing regression methods are effective for estimating and classifying binary responses and can substantially reduce the number of required diagnostic tests. However, there is no appropriate methodology when the sampling process is complex and informative. In these cases, researchers often ignore stratification and weights that can severely bias the estimates of the population parameters. In this paper, we develop group-testing regression models for analysing two-stage surveys with unequal selection probabilities and informative sampling. Weights are incorporated into the likelihood function using the pseudo-likelihood approach. A simulation study demonstrates that the proposed model reduces the bias in estimation considerably compared to other methods that ignore the weights. Finally, we apply the model for estimating the presence of transgenic corn in Mexico and we give the SAS code used for the analysis.
dc.description182-197
dc.languageEnglish
dc.publisherCambridge University Press
dc.rightsCIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
dc.rightsOpen Access
dc.source2
dc.source26
dc.source0960-2585
dc.sourceSeed Science Research
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectComplex Survey
dc.subjectGroup Testing
dc.subjectInformative Sampling
dc.subjectTransgenic Corn
dc.subjectSURVEYS
dc.subjectSAMPLING
dc.subjectTRANSGENIC PLANTS
dc.subjectMAIZE
dc.titleA regression model for pooled data in a two-stage survey under informative sampling with application for detecting and estimating the presence of transgenic corn
dc.typeArticle
dc.typePublished Version
dc.coverageCambridge (United Kingdom)


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