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dc.contributor.authorAndreis, Federicoen_UK
dc.contributor.authorFurfaro, Emanuelaen_UK
dc.contributor.authorMecatti, Fulviaen_UK
dc.contributor.editorPerna, Cen_UK
dc.contributor.editorPratesi, Men_UK
dc.contributor.editorRuiz-Gazen, Aen_UK
dc.description.abstractSampling a rare and clustered trait in a finite population is challenging: traditional sampling designs usually require a large sample size in order to obtain reasonably accurate estimates, resulting in a considerable investment of resources in front of the detection of a small number of cases. A notable example is the case of WHO’s tuberculosis (TB) prevalence surveys, crucial for countries that bear a high TB burden, the prevalence of cases being still less than 1%. In the latest WHO guidelines, spatial patterns are not explicitly accounted for, with the risk of missing a large number of cases; moreover, cost and logistic constraints can pose further problems. After reviewing the methodology in use by WHO, the use of adaptive and sequential approaches is discussed as natural alternatives to improve over the limits of the current practice. A simulation study is presented to highlight possible advantages and limitations of these alternatives, and an integrated approach, combining both adaptive and sequential features in a single sampling strategy is advocated as a promising methodological perspectiveen_UK
dc.relationAndreis F, Furfaro E & Mecatti F (2018) Methodological perspectives for surveying rare and clustered population: towards a sequentially adaptive approach. In: Perna C, Pratesi M & Ruiz-Gazen A (eds.) Studies in Theoretical and Applied Statistics. SIS 2016. Springer Proceedings in Mathematics & Statistics, 227. 48th Scientific Meeting of the Italian Statistical Society, SIS 2016, Salerno, Italy, 08.06.2016-10.06.2016. Cham, Switzerland: Springer, pp. 15-24.
dc.relation.ispartofseriesSpringer Proceedings in Mathematics & Statistics, 227en_UK
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.subjectSpatial patternen_UK
dc.subjectPrevalence surveysen_UK
dc.subjectlogistic constraintsen_UK
dc.subjectPoisson samplingen_UK
dc.subjectHorvitz-Thompson estimationen_UK
dc.titleMethodological perspectives for surveying rare and clustered population: towards a sequentially adaptive approachen_UK
dc.typeConference Paperen_UK
dc.rights.embargoreason[A3_Methodological.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.type.statusVoR - Version of Recorden_UK
dc.citation.btitleStudies in Theoretical and Applied Statistics. SIS 2016en_UK
dc.citation.conferencedates2016-06-08 - 2016-06-10en_UK
dc.citation.conferencelocationSalerno, Italyen_UK
dc.citation.conferencename48th Scientific Meeting of the Italian Statistical Society, SIS 2016en_UK
dc.publisher.addressCham, Switzerlanden_UK
dc.contributor.affiliationUniversita Commerciale 'Luigi Bocconi'.en_UK
dc.contributor.affiliationUniversity of Milano Bicoccaen_UK
dc.contributor.affiliationUniversity of Milano Bicoccaen_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
local.rioxx.authorAndreis, Federico|0000-0002-1776-3755en_UK
local.rioxx.authorFurfaro, Emanuela|en_UK
local.rioxx.authorMecatti, Fulvia|en_UK
local.rioxx.projectInternal Project|University of Stirling|
local.rioxx.contributorPerna, C|en_UK
local.rioxx.contributorPratesi, M|en_UK
local.rioxx.contributorRuiz-Gazen, A|en_UK
Appears in Collections:Faculty of Health Sciences and Sport Conference Papers and Proceedings

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