ESTIMATION THROUGH ARRAY-BASED GROUP TESTS

* Pooling individual samples for batch testing is a common procedure for reducing costs. The recent use of multidimensional array algorithms, due to the emergence of robotic pooling, is an innovative way of pooling. We show that the two-dimensional array-based group tests can provide accurate estima...

Full description

Saved in:
Bibliographic Details
Published inRevstat Vol. 15; no. 4; p. 487
Main Authors Ma, Felgueiras, Miguel
Format Journal Article
LanguageEnglish
Published Instituto Nacional de Estatistica 01.10.2017
Instituto Nacional de Estatística | Statistics Portugal
Subjects
Algorithms
array
estimation
Mathematical research
pooled samples
prevalence rate
Sampling (Statistics)
Online AccessGet full text
ISSN1645-6726
2183-0371
DOI10.57805/revstat.v15i4.223

Cover

Abstract * Pooling individual samples for batch testing is a common procedure for reducing costs. The recent use of multidimensional array algorithms, due to the emergence of robotic pooling, is an innovative way of pooling. We show that the two-dimensional array-based group tests can provide accurate estimates for the prevalence rate even for situations in which the traditional estimators, applied to one-dimensional arrays, are not valid. Hence, a computational script was developed to determine which prevalence rate estimate minimizes the sum of the squared deviations between the number of observed and expected rows and columns whose pooled sample had a positive test result. Key-Words: * estimation; prevalence rate; pooled samples; array. AMS Subject Classification: * 62F10, 62P10.
AbstractList * Pooling individual samples for batch testing is a common procedure for reducing costs. The recent use of multidimensional array algorithms, due to the emergence of robotic pooling, is an innovative way of pooling. We show that the two-dimensional array-based group tests can provide accurate estimates for the prevalence rate even for situations in which the traditional estimators, applied to one-dimensional arrays, are not valid. Hence, a computational script was developed to determine which prevalence rate estimate minimizes the sum of the squared deviations between the number of observed and expected rows and columns whose pooled sample had a positive test result. Key-Words: * estimation; prevalence rate; pooled samples; array. AMS Subject Classification: * 62F10, 62P10.
* Pooling individual samples for batch testing is a common procedure for reducing costs. The recent use of multidimensional array algorithms, due to the emergence of robotic pooling, is an innovative way of pooling. We show that the two-dimensional array-based group tests can provide accurate estimates for the prevalence rate even for situations in which the traditional estimators, applied to one-dimensional arrays, are not valid. Hence, a computational script was developed to determine which prevalence rate estimate minimizes the sum of the squared deviations between the number of observed and expected rows and columns whose pooled sample had a positive test result.
Pooling individual samples for batch testing is a common procedure for reducing costs. The recent use of multidimensional array algorithms, due to the emergence of robotic pooling, is an innovative way of pooling. We show that the two-dimensional arraybased group tests can provide accurate estimates for the prevalence rate even for situations in which the traditional estimators, applied to one-dimensional arrays, are not valid. Hence, a computational script was developed to determine which prevalence rate estimate minimizes the sum of the squared deviations between the number of observed and expected rows and columns whose pooled sample had a positive test result.
Audience Academic
Author Ma
Felgueiras, Miguel
Author_xml – sequence: 1
  fullname: Ma
– sequence: 2
  fullname: Felgueiras, Miguel
BookMark eNptkE9Lw0AQxRepYK39Ap4C3oTE_b_JMdbaBqqVNj14CrvZ2bKlbSQJBb99F-vBgzOHgcfvvYF3iwbH5ggI3ROcCJVi8dTCqet1n5yI8DyhlF2hISUpizFTZICGRHIRS0XlDRp33Q6HYYRLRobocboui7e8LJbvUTlfLTezeZSvVvln_Jyvpy_RLEgfURmo9R26dnrfwfj3jtDmdVpO5vFiOSsm-SK2jMg-ppQzqwkGl4KTSlsF4JiWFohiGVgXxmohBZeGZ7VwzoBlQI2TwWUNG6Hikmsbvau-Wn_Q7XfVaF_9CE27rXTb-3oPFVaYisxQTrHgNaQZCEOIoVbS8IhlIevhkrXVAfdH1_Strg--q6tchFp4qqQMVPIPFdbCwdehbOeD_sdwBinobYI
ContentType Journal Article
Copyright COPYRIGHT 2017 Instituto Nacional de Estatistica
Copyright_xml – notice: COPYRIGHT 2017 Instituto Nacional de Estatistica
DBID INF
DOA
DOI 10.57805/revstat.v15i4.223
DatabaseName Gale OneFile: Informe Academico
DOAJ Directory of Open Access Journals
DatabaseTitleList


Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
DeliveryMethod fulltext_linktorsrc
Discipline Mathematics
EISSN 2183-0371
ExternalDocumentID oai_doaj_org_article_070259b242054ce89e5b11b2d62edf39
A516448766
GroupedDBID 123
29P
2WC
ALMA_UNASSIGNED_HOLDINGS
GROUPED_DOAJ
GX1
IAO
INF
INS
ITC
J9A
OVT
RNS
ID FETCH-LOGICAL-d316t-2243da10ef8ef67ad7eef3a6de1739edffffda56546b49c5ffbed3e2bf6a10db3
IEDL.DBID DOA
ISSN 1645-6726
IngestDate Fri Oct 03 12:50:32 EDT 2025
Mon Oct 20 22:26:40 EDT 2025
Mon Oct 20 16:44:05 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 4
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-d316t-2243da10ef8ef67ad7eef3a6de1739edffffda56546b49c5ffbed3e2bf6a10db3
OpenAccessLink https://doaj.org/article/070259b242054ce89e5b11b2d62edf39
ParticipantIDs doaj_primary_oai_doaj_org_article_070259b242054ce89e5b11b2d62edf39
gale_infotracmisc_A516448766
gale_infotracacademiconefile_A516448766
PublicationCentury 2000
PublicationDate 20171001
2017-10-01
PublicationDateYYYYMMDD 2017-10-01
PublicationDate_xml – month: 10
  year: 2017
  text: 20171001
  day: 01
PublicationDecade 2010
PublicationTitle Revstat
PublicationYear 2017
Publisher Instituto Nacional de Estatistica
Instituto Nacional de Estatística | Statistics Portugal
Publisher_xml – name: Instituto Nacional de Estatistica
– name: Instituto Nacional de Estatística | Statistics Portugal
SSID ssj0000314631
Score 2.0341747
Snippet * Pooling individual samples for batch testing is a common procedure for reducing costs. The recent use of multidimensional array algorithms, due to the...
Pooling individual samples for batch testing is a common procedure for reducing costs. The recent use of multidimensional array algorithms, due to the...
SourceID doaj
gale
SourceType Open Website
Aggregation Database
StartPage 487
SubjectTerms Algorithms
array
estimation
Mathematical research
pooled samples
prevalence rate
Sampling (Statistics)
Title ESTIMATION THROUGH ARRAY-BASED GROUP TESTS
URI https://doaj.org/article/070259b242054ce89e5b11b2d62edf39
Volume 15
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 2183-0371
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000314631
  issn: 1645-6726
  databaseCode: DOA
  dateStart: 20030101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVFQY
  databaseName: GFMER Free Medical Journals
  customDbUrl:
  eissn: 2183-0371
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000314631
  issn: 1645-6726
  databaseCode: GX1
  dateStart: 20030101
  isFulltext: true
  titleUrlDefault: http://www.gfmer.ch/Medical_journals/Free_medical.php
  providerName: Geneva Foundation for Medical Education and Research
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3NS8MwFA-ykx7ET5xO6UEQhGzLd3PcZHMI87TBbiVpEvAypasD_3tf0iL15MUeemhTSH68vI_mvd9D6F4zbpRiAhPpOI4EXdiw4LDOacmDU1qlg_blq1ys-ctGbDqtvmJOWEMP3AA3ApEED92CJQHnovS59sISYqmT1LvAUuneONedYCrpYAYaIDUjhHAgZtdT2VTMiMjhP6r8PtbrDPdEvPEhjb2KEmN_q5c7FmZ-go5b1zCbNFM6RQd-e4aOlj-8qrtz9DiDHdkUG2arpsMOjK_MF56CNXJZ-pOUrUDT7y7Qej5bPS1w2-0AO0ZkjcGWMmfI2IfcB6mMU94HZqTzRDENa4XLGRGLjyzXpQjBesc8tUHCV86yS9Tbvm_9Fco0V7kINPhQmnhuaYLJKSs58VQDmKGPpnG1xUdDaFFEiun0AIAvWuCLv4Dvo4eIVRE3Ql2Z0rT5_DCFSClVTASJsZ-Sso8Gv0aCAJed19f_MZsbdEijwU1pdgPUq6tPfwvuQm3vkmTA_XlDvgEQSbvQ
linkProvider Directory of Open Access Journals
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Estimation+Through+Array-Based+Group+Tests&rft.jtitle=Revstat&rft.au=Jo%C3%A3o+Paulo+Martins&rft.au=Miguel+Felgueiras&rft.au=Rui+Santos&rft.date=2017-10-01&rft.pub=Instituto+Nacional+de+Estat%C3%ADstica+%7C+Statistics+Portugal&rft.issn=1645-6726&rft.eissn=2183-0371&rft.volume=15&rft.issue=4&rft_id=info:doi/10.57805%2Frevstat.v15i4.223&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_070259b242054ce89e5b11b2d62edf39
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1645-6726&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1645-6726&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1645-6726&client=summon