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dc.identifier.uri http://dx.doi.org/10.15488/3894
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/3928
dc.contributor.author Bilder, Christopher R. ger
dc.contributor.author Zhang, Boan ger
dc.contributor.author Schaarschmidt, Frank ger
dc.contributor.author Tebbs, Joshua M. ger
dc.date.accessioned 2018-10-26T13:54:54Z
dc.date.available 2018-10-26T13:54:54Z
dc.date.issued 2010
dc.identifier.citation Bilder, C.R. et al.: binGroup: A Package for Group Testing. In: The R Journal 2 (2010), S. 56-60 ger
dc.description.abstract When the prevalence of a disease or of some other binary characteristic is small, group testing (also known as pooled testing) is frequently used to estimate the prevalence and/or to identify individuals as positive or negative. We have developed the binGroup package as the first package designed to address the estimation problem in group testing. We present functions to estimate an overall prevalence for a homogeneous population. Also, for this setting, we have functions to aid in the very important choice of the group size. When individuals come from a heterogeneous population, our group testing regression functions can be used to estimate an individual probability of disease positivity by using the group observations only. We illustrate our functions with data from a multiple vector transfer design experiment and a human infectious disease prevalence study. ger
dc.language.iso eng ger
dc.publisher Wien : The R Foundation
dc.relation.ispartofseries The R Journal 2 (2010) ger
dc.rights CC BY 3.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.subject Pooled Testing eng
dc.subject R (programming language) eng
dc.subject Estimation eng
dc.subject.ddc 004 | Informatik ger
dc.title binGroup: A Package for Group Testing eng
dc.type article ger
dc.type Text ger
dc.relation.issn 2073-4859
dc.description.version publishedVersion ger
tib.accessRights frei zug�nglich


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