Bias in clinical studies

Detalhes bibliográficos
Autor(a) principal: Carneiro, António Vaz
Data de Publicação: 2011
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/32138
Resumo: Clinical studies are designed fundamentally to obtain data to support practice, whether diagnostic, therapeutic or prognostic. No matter how well a study was designed, implemented or analyzed, it is never possible to guarantee the truth of its results with absolute certainty. This is due to two factors that can change the study's results: random error and systematic error (also called bias). The first appears without warning and cannot be modulated, while the second--defined as the systematic introduction of error into a study--can be removed (if not completely, at least partially). In this paper we present the most common types of bias found in clinical studies, whether therapeutic (clinical trials), or with other experimental or observational designs.
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spelling Bias in clinical studiesViéses em estudos clínicosError in clinical studiesBias in clinical studiesInternal validityEvidence-based medicineClinical studies are designed fundamentally to obtain data to support practice, whether diagnostic, therapeutic or prognostic. No matter how well a study was designed, implemented or analyzed, it is never possible to guarantee the truth of its results with absolute certainty. This is due to two factors that can change the study's results: random error and systematic error (also called bias). The first appears without warning and cannot be modulated, while the second--defined as the systematic introduction of error into a study--can be removed (if not completely, at least partially). In this paper we present the most common types of bias found in clinical studies, whether therapeutic (clinical trials), or with other experimental or observational designs.Sociedade Portuguesa de CardiologiaRepositório da Universidade de LisboaCarneiro, António Vaz2018-03-05T16:49:43Z2011-022011-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/32138porRev Port Cardiol 2011; 30 (02): 235-2420870-2551info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T16:26:11Zoai:repositorio.ul.pt:10451/32138Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:47:27.559415Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Bias in clinical studies
Viéses em estudos clínicos
title Bias in clinical studies
spellingShingle Bias in clinical studies
Carneiro, António Vaz
Error in clinical studies
Bias in clinical studies
Internal validity
Evidence-based medicine
title_short Bias in clinical studies
title_full Bias in clinical studies
title_fullStr Bias in clinical studies
title_full_unstemmed Bias in clinical studies
title_sort Bias in clinical studies
author Carneiro, António Vaz
author_facet Carneiro, António Vaz
author_role author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Carneiro, António Vaz
dc.subject.por.fl_str_mv Error in clinical studies
Bias in clinical studies
Internal validity
Evidence-based medicine
topic Error in clinical studies
Bias in clinical studies
Internal validity
Evidence-based medicine
description Clinical studies are designed fundamentally to obtain data to support practice, whether diagnostic, therapeutic or prognostic. No matter how well a study was designed, implemented or analyzed, it is never possible to guarantee the truth of its results with absolute certainty. This is due to two factors that can change the study's results: random error and systematic error (also called bias). The first appears without warning and cannot be modulated, while the second--defined as the systematic introduction of error into a study--can be removed (if not completely, at least partially). In this paper we present the most common types of bias found in clinical studies, whether therapeutic (clinical trials), or with other experimental or observational designs.
publishDate 2011
dc.date.none.fl_str_mv 2011-02
2011-02-01T00:00:00Z
2018-03-05T16:49:43Z
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.uri.fl_str_mv http://hdl.handle.net/10451/32138
url http://hdl.handle.net/10451/32138
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Rev Port Cardiol 2011; 30 (02): 235-242
0870-2551
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Sociedade Portuguesa de Cardiologia
publisher.none.fl_str_mv Sociedade Portuguesa de Cardiologia
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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