Sensitivity analysis for unmeasured confounders using an electronic spreadsheet

Detalhes bibliográficos
Autor(a) principal: Cabral,Maria Deolinda Borges
Data de Publicação: 2007
Outros Autores: Luiz,Ronir Raggio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Saúde Pública
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102007000300017
Resumo: In studies assessing the effects of a given exposure variable and a specific outcome of interest, confusion may arise from the mistaken impression that the exposure variable is producing the outcome of interest, when in fact the observed effect is due to an existing confounder. However, quantitative techniques are rarely used to determine the potential influence of unmeasured confounders. Sensitivity analysis is a statistical technique that allows to quantitatively measuring the impact of an unmeasured confounding variable on the association of interest that is being assessed. The purpose of this study was to make it feasible to apply two sensitivity analysis methods available in the literature, developed by Rosenbaum and Greenland, using an electronic spreadsheet. Thus, it can be easier for researchers to include this quantitative tool in the set of procedures that have been commonly used in the stage of result validation.
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spelling Sensitivity analysis for unmeasured confounders using an electronic spreadsheetStatistical interpretation of dataSensitivity analysisConfounding/EpidemiologyObservational studiesElectronic spreadsheetIn studies assessing the effects of a given exposure variable and a specific outcome of interest, confusion may arise from the mistaken impression that the exposure variable is producing the outcome of interest, when in fact the observed effect is due to an existing confounder. However, quantitative techniques are rarely used to determine the potential influence of unmeasured confounders. Sensitivity analysis is a statistical technique that allows to quantitatively measuring the impact of an unmeasured confounding variable on the association of interest that is being assessed. The purpose of this study was to make it feasible to apply two sensitivity analysis methods available in the literature, developed by Rosenbaum and Greenland, using an electronic spreadsheet. Thus, it can be easier for researchers to include this quantitative tool in the set of procedures that have been commonly used in the stage of result validation.Faculdade de Saúde Pública da Universidade de São Paulo2007-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102007000300017Revista de Saúde Pública v.41 n.3 2007reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USP10.1590/S0034-89102007000300017info:eu-repo/semantics/openAccessCabral,Maria Deolinda BorgesLuiz,Ronir Raggioeng2007-05-16T00:00:00Zoai:scielo:S0034-89102007000300017Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0034-8910&lng=pt&nrm=isoONGhttps://old.scielo.br/oai/scielo-oai.phprevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2007-05-16T00:00Revista de Saúde Pública - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Sensitivity analysis for unmeasured confounders using an electronic spreadsheet
title Sensitivity analysis for unmeasured confounders using an electronic spreadsheet
spellingShingle Sensitivity analysis for unmeasured confounders using an electronic spreadsheet
Cabral,Maria Deolinda Borges
Statistical interpretation of data
Sensitivity analysis
Confounding/Epidemiology
Observational studies
Electronic spreadsheet
title_short Sensitivity analysis for unmeasured confounders using an electronic spreadsheet
title_full Sensitivity analysis for unmeasured confounders using an electronic spreadsheet
title_fullStr Sensitivity analysis for unmeasured confounders using an electronic spreadsheet
title_full_unstemmed Sensitivity analysis for unmeasured confounders using an electronic spreadsheet
title_sort Sensitivity analysis for unmeasured confounders using an electronic spreadsheet
author Cabral,Maria Deolinda Borges
author_facet Cabral,Maria Deolinda Borges
Luiz,Ronir Raggio
author_role author
author2 Luiz,Ronir Raggio
author2_role author
dc.contributor.author.fl_str_mv Cabral,Maria Deolinda Borges
Luiz,Ronir Raggio
dc.subject.por.fl_str_mv Statistical interpretation of data
Sensitivity analysis
Confounding/Epidemiology
Observational studies
Electronic spreadsheet
topic Statistical interpretation of data
Sensitivity analysis
Confounding/Epidemiology
Observational studies
Electronic spreadsheet
description In studies assessing the effects of a given exposure variable and a specific outcome of interest, confusion may arise from the mistaken impression that the exposure variable is producing the outcome of interest, when in fact the observed effect is due to an existing confounder. However, quantitative techniques are rarely used to determine the potential influence of unmeasured confounders. Sensitivity analysis is a statistical technique that allows to quantitatively measuring the impact of an unmeasured confounding variable on the association of interest that is being assessed. The purpose of this study was to make it feasible to apply two sensitivity analysis methods available in the literature, developed by Rosenbaum and Greenland, using an electronic spreadsheet. Thus, it can be easier for researchers to include this quantitative tool in the set of procedures that have been commonly used in the stage of result validation.
publishDate 2007
dc.date.none.fl_str_mv 2007-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102007000300017
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102007000300017
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0034-89102007000300017
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Faculdade de Saúde Pública da Universidade de São Paulo
publisher.none.fl_str_mv Faculdade de Saúde Pública da Universidade de São Paulo
dc.source.none.fl_str_mv Revista de Saúde Pública v.41 n.3 2007
reponame:Revista de Saúde Pública
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Revista de Saúde Pública
collection Revista de Saúde Pública
repository.name.fl_str_mv Revista de Saúde Pública - Universidade de São Paulo (USP)
repository.mail.fl_str_mv revsp@org.usp.br||revsp1@usp.br
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