Assessing respondent-driven sampling: a simulation study across different networks

Detalhes bibliográficos
Autor(a) principal: Sperandei, Sandro
Data de Publicação: 2018
Outros Autores: Bastos, Leonardo Soares, Ribeiro-Alves, Marcelo, Bastos, Francisco Inácio Pinkusfeld Monteiro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/33648
Resumo: 2020-06-25
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spelling Sperandei, SandroBastos, Leonardo SoaresRibeiro-Alves, MarceloBastos, Francisco Inácio Pinkusfeld Monteiro2019-06-25T12:30:09Z2019-06-25T12:30:09Z2018SPERANDEI, Sandro et al. Social Networks. Assessing respondent-driven sampling: a simulation study across different networks. Social Networks, v. 52, p. 48-55, 2018.0378-8733https://www.arca.fiocruz.br/handle/icict/3364810.1016/j.socnet.2017.05.004engElsevierAssessing respondent-driven sampling: a simulation study across different networksinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article2020-06-25Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil / Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Programa de Biologia Computacional e Sistemas. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Programa de Biologia Computacional e Sistemas. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil.The purpose was to assess RDS estimators in populations simulated with diverse connectivity characteristics, incorporating the putative influence of misreported degrees and transmission processes. Four populations were simulated using different random graph models. Each population was “infected” using four different transmission processes. From each combination of population x transmission, one thousand samples were obtained using a RDS-like sampling strategy. Three estimators were used to predict the population-level prevalence of the “infection”. Several types of misreported degrees were simulated. Also, samples were generated using the standard random sampling method and the respective prevalence estimates, using the classical frequentist estimator. Estimation biases in relation to population parameters were assessed, as well as the variance. Variability was associated with the connectivity characteristics of each simulated population. Clustered populations yield greater variability and no RDS-based strategy could address the estimation biases. Misreporting degrees had modest effects, especially when RDS estimators were used. The best results for RDS-based samples were observed when the “infection” was randomly attributed, without any relation with the underlying network structure.Respondent-driven samplingHidden populationHard-to-reach populationSimulation methodRandom graphEpidemiologyinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txttext/plain1748https://www.arca.fiocruz.br/bitstream/icict/33648/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51ORIGINALve_Sperandei_Sandro_etal_INI_2018.pdfve_Sperandei_Sandro_etal_INI_2018.pdfapplication/pdf1436210https://www.arca.fiocruz.br/bitstream/icict/33648/2/ve_Sperandei_Sandro_etal_INI_2018.pdf9e140845da2097ed59a644c0680543bfMD52TEXTve_Sperandei_Sandro_etal_INI_2018.pdf.txtve_Sperandei_Sandro_etal_INI_2018.pdf.txtExtracted texttext/plain39121https://www.arca.fiocruz.br/bitstream/icict/33648/3/ve_Sperandei_Sandro_etal_INI_2018.pdf.txtc4012e1501a344fbd001894698b009f7MD53icict/336482023-08-01 16:54:59.303oai:www.arca.fiocruz.br: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Repositório InstitucionalPUBhttps://www.arca.fiocruz.br/oai/requestrepositorio.arca@fiocruz.bropendoar:21352023-08-01T19:54:59Repositório Institucional da FIOCRUZ (ARCA) - Fundação Oswaldo Cruz (FIOCRUZ)false
dc.title.pt_BR.fl_str_mv Assessing respondent-driven sampling: a simulation study across different networks
title Assessing respondent-driven sampling: a simulation study across different networks
spellingShingle Assessing respondent-driven sampling: a simulation study across different networks
Sperandei, Sandro
Respondent-driven sampling
Hidden population
Hard-to-reach population
Simulation method
Random graph
Epidemiology
title_short Assessing respondent-driven sampling: a simulation study across different networks
title_full Assessing respondent-driven sampling: a simulation study across different networks
title_fullStr Assessing respondent-driven sampling: a simulation study across different networks
title_full_unstemmed Assessing respondent-driven sampling: a simulation study across different networks
title_sort Assessing respondent-driven sampling: a simulation study across different networks
author Sperandei, Sandro
author_facet Sperandei, Sandro
Bastos, Leonardo Soares
Ribeiro-Alves, Marcelo
Bastos, Francisco Inácio Pinkusfeld Monteiro
author_role author
author2 Bastos, Leonardo Soares
Ribeiro-Alves, Marcelo
Bastos, Francisco Inácio Pinkusfeld Monteiro
author2_role author
author
author
dc.contributor.author.fl_str_mv Sperandei, Sandro
Bastos, Leonardo Soares
Ribeiro-Alves, Marcelo
Bastos, Francisco Inácio Pinkusfeld Monteiro
dc.subject.en.pt_BR.fl_str_mv Respondent-driven sampling
Hidden population
Hard-to-reach population
Simulation method
Random graph
Epidemiology
topic Respondent-driven sampling
Hidden population
Hard-to-reach population
Simulation method
Random graph
Epidemiology
description 2020-06-25
publishDate 2018
dc.date.issued.fl_str_mv 2018
dc.date.accessioned.fl_str_mv 2019-06-25T12:30:09Z
dc.date.available.fl_str_mv 2019-06-25T12:30:09Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv SPERANDEI, Sandro et al. Social Networks. Assessing respondent-driven sampling: a simulation study across different networks. Social Networks, v. 52, p. 48-55, 2018.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/33648
dc.identifier.issn.pt_BR.fl_str_mv 0378-8733
dc.identifier.doi.pt_BR.fl_str_mv 10.1016/j.socnet.2017.05.004
identifier_str_mv SPERANDEI, Sandro et al. Social Networks. Assessing respondent-driven sampling: a simulation study across different networks. Social Networks, v. 52, p. 48-55, 2018.
0378-8733
10.1016/j.socnet.2017.05.004
url https://www.arca.fiocruz.br/handle/icict/33648
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
instname_str Fundação Oswaldo Cruz (FIOCRUZ)
instacron_str FIOCRUZ
institution FIOCRUZ
reponame_str Repositório Institucional da FIOCRUZ (ARCA)
collection Repositório Institucional da FIOCRUZ (ARCA)
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