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Estimation of prevalence in rare disease using pooled samples

2020-02Conference paper Open access
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datacite.subject.fosCiências Naturais::Ciências Físicas
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
datacite.subject.sdg10:Reduzir as Desigualdades
datacite.subject.sdg12:Produção e Consumo Sustentáveis
dc.contributor.authorMartins, J. P.
dc.contributor.authorSantos, R.
dc.contributor.authorFelgueiras, M.
dc.date.accessioned2025-09-15T15:21:40Z
dc.date.available2025-09-15T15:21:40Z
dc.date.issued2020-02
dc.descriptionInternational Conference on Mathematical Models & Computational Techniques in Science & Engineering, 22-24 February 2020
dc.description.abstractThe use of pooled samples for screening infected individuals is a known procedure to reduce costs. In an estimation problem, the aim is only to determine how many individuals are infected instead of determining who is infected (classification problem). In that setting, our goal was to compare the performance of using one or two-dimensional arrays. The best performance was established according to one of the following criteria: minimizing the number of individuals or the number of tests required to attain a certain estimate accuracy. It is observed that when we want to minimize the number of individuals used, the two-dimensional procedures have a little advantage over the one-dimensional procedures. However, when the major concern is the cost, the one-dimensional procedures clearly outperform the two-dimensional procedures.eng
dc.description.sponsorshipFunded by FCT – Fundação para a Ciência e Tecnologia, Portugal, through the project UIDB/00006/2020.
dc.identifier.citationJ. P. Martins et al 2020 J. Phys.: Conf. Ser. 1564 012028. DOI: https://doi.org/10.1088/1742-6596/1564/1/012028.
dc.identifier.doi10.1088/1742-6596/1564/1/012028
dc.identifier.eissn1742-6596
dc.identifier.issn1742-6588
dc.identifier.urihttp://hdl.handle.net/10400.8/14066
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIOP Publishing
dc.relationCentre of Statistics and its Applications
dc.relation.hasversionhttps://iopscience.iop.org/article/10.1088/1742-6596/1564/1/012028
dc.relation.ispartofJournal of Physics: Conference Series
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectDiagnosis
dc.subjectOne dimensional
dc.subjectScreening
dc.subjectEstimation
dc.titleEstimation of prevalence in rare disease using pooled sampleseng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleCentre of Statistics and its Applications
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00006%2F2020/PT
oaire.citation.conferenceDate2020-02
oaire.citation.conferencePlaceLondon, UK
oaire.citation.endPage6
oaire.citation.startPage1
oaire.citation.titleJournal of Physics: Conference Series
oaire.citation.volume1564
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameOliveira Martins
person.familyNameSantos
person.familyNameFelgueiras
person.givenNameJoão Paulo
person.givenNameRui
person.givenNameMiguel
person.identifier1051057
person.identifier.ciencia-id7610-8B27-8044
person.identifier.ciencia-id0F1B-DE05-36E5
person.identifier.orcid0000-0002-0474-1397
person.identifier.orcid0000-0002-7371-363X
person.identifier.orcid0000-0001-5450-7374
person.identifier.ridC-1873-2015
person.identifier.ridM-8134-2019
person.identifier.scopus-author-id56979441000
person.identifier.scopus-author-id50861001200
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
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The use of pooled samples for screening infected individuals is a known procedure to reduce costs. In an estimation problem, the aim is only to determine how many individuals are infected instead of determining who is infected (classification problem). In that setting, our goal was to compare the performance of using one or two-dimensional arrays. The best performance was established according to one of the following criteria: minimizing the number of individuals or the number of tests required to attain a certain estimate accuracy. It is observed that when we want to minimize the number of individuals used, the two-dimensional procedures have a little advantage over the one-dimensional procedures. However, when the major concern is the cost, the one-dimensional procedures clearly outperform the two-dimensional procedures.
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