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Frequentist, bayesian analysis and complementary statistical tools for geriatric and rehabilitation fields : are traditional null-hypothesis significance testing methods sufficient?

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Hoofdauteur: Nascimento, Dahan da Cunha
Publicatiedatum: 2024
Andere auteurs: Rolnick, Nicholas, Almeida, Isabella da Silva, Cipriano Junior, Gerson, Durigan, João Luiz Quagliotti
Formaat: Article
Taal: eng
Bron: Repositório Institucional da UnB
Download full: http://repositorio.unb.br/handle/10482/54455
https://doi.org/10.2147/CIA.S441799
http://orcid.org/0000-0002-6580-9404
http://orcid.org/0000-0001-9778-2800
http://orcid.org/0000-0001-6323-7003
Samenvatting: Null hypothesis significant testing (NHST) is the dominant statistical approach in the geriatric and rehabilitation fields. However, NHST is routinely misunderstood or misused. In this case, the findings from clinical trials would be taken as evidence of no effect, when in fact, a clinically relevant question may have a “non-significant” p-value. Conversely, findings are considered clinically relevant when significant differences are observed between groups. To assume that p-value is not an exclusive indicator of an association or the existence of an effect, researchers should be encouraged to report other statistical analysis approaches as Bayesian analysis and complementary statistical tools alongside the p-value (eg, effect size, confidence intervals, minimal clinically important difference, and magnitude-based inference) to improve interpretation of the findings of clinical trials by presenting a more efficient and comprehensive analysis. However, the focus on Bayesian analysis and secondary statistical analyses does not mean that NHST is less important. Only that, to observe a real intervention effect, researchers should use a combination of secondary statistical analyses in conjunction with NHST or Bayesian statistical analysis to reveal what p-values cannot show in the geriatric and rehabilitation studies (eg, the clinical importance of 1kg increase in handgrip strength in the intervention group of long-lived older adults compared to a control group). This paper provides potential insights for improving the interpretation of scientific data in rehabilitation and geriatric fields by utilizing Bayesian and secondary statistical analyses to better scrutinize the results of clinical trials where a p-value alone may not be appropriate to determine the efficacy of an intervention.
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author Nascimento, Dahan da Cunha
author2 Rolnick, Nicholas
Almeida, Isabella da Silva
Cipriano Junior, Gerson
Durigan, João Luiz Quagliotti
author2_role author
author
author
author
author_browse Almeida, Isabella da Silva
Cipriano Junior, Gerson
Durigan, João Luiz Quagliotti
Nascimento, Dahan da Cunha
Rolnick, Nicholas
author_facet Nascimento, Dahan da Cunha
Rolnick, Nicholas
Almeida, Isabella da Silva
Cipriano Junior, Gerson
Durigan, João Luiz Quagliotti
author_role author
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collection Repositório Institucional da UnB
dc.contributor.affiliation.pt_BR.fl_str_mv Universidade Católica de Brasília, Physical Education Department
Lehman College, The Human Performance Mechanic Department
Universidade de Brasília, Faculdade de Ceilândia, Laboratory of Muscle and Tendon Plasticity
Universidade de Brasília, Faculdade de Ceilândia, Graduate Program in Rehabilitation Science
Universidade de Brasília, Faculdade de Ceilândia, Laboratory of Muscle and Tendon Plasticity
dc.contributor.author.fl_str_mv Nascimento, Dahan da Cunha
Rolnick, Nicholas
Almeida, Isabella da Silva
Cipriano Junior, Gerson
Durigan, João Luiz Quagliotti
dc.date.accessioned.fl_str_mv 2026-05-25T12:48:03Z
dc.date.available.fl_str_mv 2026-05-25T12:48:03Z
dc.date.issued.fl_str_mv 2024-02
dc.identifier.citation.fl_str_mv NASCIMENTO, Dahan da Cunha et al. Frequentist, bayesian analysis and complementary statistical tools for geriatric and rehabilitation fields: are traditional null-hypothesis significance testing methods sufficient?. Clinical Interventions in Aging, [S. l.], v. 19, p. 277-287, 2024. DOI: https://doi.org/10.2147/CIA.S441799. Disponível em: https://www.dovepress.com/frequentist-bayesian-analysis-and-complementary-statistical-tools-for--peer-reviewed-fulltext-article-CIA. Acesso em: 19 maio 2026.
dc.identifier.doi.pt_BR.fl_str_mv https://doi.org/10.2147/CIA.S441799
dc.identifier.orcid.pt_BR.fl_str_mv http://orcid.org/0000-0002-6580-9404
http://orcid.org/0000-0001-9778-2800
http://orcid.org/0000-0001-6323-7003
dc.identifier.uri.fl_str_mv http://repositorio.unb.br/handle/10482/54455
dc.language.iso.fl_str_mv eng
dc.publisher.none.fl_str_mv Dovepress
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da UnB
instname:Universidade de Brasília (UnB)
instacron:UNB
dc.subject.keyword.pt_BR.fl_str_mv Estatística
Análise bayesiana
Ferramentas de estudo
dc.title.pt_BR.fl_str_mv Frequentist, bayesian analysis and complementary statistical tools for geriatric and rehabilitation fields : are traditional null-hypothesis significance testing methods sufficient?
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
description Null hypothesis significant testing (NHST) is the dominant statistical approach in the geriatric and rehabilitation fields. However, NHST is routinely misunderstood or misused. In this case, the findings from clinical trials would be taken as evidence of no effect, when in fact, a clinically relevant question may have a “non-significant” p-value. Conversely, findings are considered clinically relevant when significant differences are observed between groups. To assume that p-value is not an exclusive indicator of an association or the existence of an effect, researchers should be encouraged to report other statistical analysis approaches as Bayesian analysis and complementary statistical tools alongside the p-value (eg, effect size, confidence intervals, minimal clinically important difference, and magnitude-based inference) to improve interpretation of the findings of clinical trials by presenting a more efficient and comprehensive analysis. However, the focus on Bayesian analysis and secondary statistical analyses does not mean that NHST is less important. Only that, to observe a real intervention effect, researchers should use a combination of secondary statistical analyses in conjunction with NHST or Bayesian statistical analysis to reveal what p-values cannot show in the geriatric and rehabilitation studies (eg, the clinical importance of 1kg increase in handgrip strength in the intervention group of long-lived older adults compared to a control group). This paper provides potential insights for improving the interpretation of scientific data in rehabilitation and geriatric fields by utilizing Bayesian and secondary statistical analyses to better scrutinize the results of clinical trials where a p-value alone may not be appropriate to determine the efficacy of an intervention.
eu_rights_str_mv openAccess
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identifier_str_mv NASCIMENTO, Dahan da Cunha et al. Frequentist, bayesian analysis and complementary statistical tools for geriatric and rehabilitation fields: are traditional null-hypothesis significance testing methods sufficient?. Clinical Interventions in Aging, [S. l.], v. 19, p. 277-287, 2024. DOI: https://doi.org/10.2147/CIA.S441799. Disponível em: https://www.dovepress.com/frequentist-bayesian-analysis-and-complementary-statistical-tools-for--peer-reviewed-fulltext-article-CIA. Acesso em: 19 maio 2026.
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publishDate 2024
publishDateSort 2024
publisher.none.fl_str_mv Dovepress
reponame_str Repositório Institucional da UnB
repository.mail.fl_str_mv repositorio@unb.br
repository.name.fl_str_mv Repositório Institucional da UnB - Universidade de Brasília (UnB)
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spelling Nascimento, Dahan da CunhaRolnick, NicholasAlmeida, Isabella da SilvaCipriano Junior, GersonDurigan, João Luiz QuagliottiUniversidade Católica de Brasília, Physical Education DepartmentLehman College, The Human Performance Mechanic DepartmentUniversidade de Brasília, Faculdade de Ceilândia, Laboratory of Muscle and Tendon PlasticityUniversidade de Brasília, Faculdade de Ceilândia, Graduate Program in Rehabilitation ScienceUniversidade de Brasília, Faculdade de Ceilândia, Laboratory of Muscle and Tendon Plasticity2026-05-25T12:48:03Z2026-05-25T12:48:03Z2024-02NASCIMENTO, Dahan da Cunha et al. Frequentist, bayesian analysis and complementary statistical tools for geriatric and rehabilitation fields: are traditional null-hypothesis significance testing methods sufficient?. Clinical Interventions in Aging, [S. l.], v. 19, p. 277-287, 2024. DOI: https://doi.org/10.2147/CIA.S441799. Disponível em: https://www.dovepress.com/frequentist-bayesian-analysis-and-complementary-statistical-tools-for--peer-reviewed-fulltext-article-CIA. Acesso em: 19 maio 2026.http://repositorio.unb.br/handle/10482/54455https://doi.org/10.2147/CIA.S441799http://orcid.org/0000-0002-6580-9404http://orcid.org/0000-0001-9778-2800http://orcid.org/0000-0001-6323-7003engDovepress2024 Nascimento et al. This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/ terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).info:eu-repo/semantics/openAccessFrequentist, bayesian analysis and complementary statistical tools for geriatric and rehabilitation fields : are traditional null-hypothesis significance testing methods sufficient?info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleEstatísticaAnálise bayesianaFerramentas de estudoNull hypothesis significant testing (NHST) is the dominant statistical approach in the geriatric and rehabilitation fields. However, NHST is routinely misunderstood or misused. In this case, the findings from clinical trials would be taken as evidence of no effect, when in fact, a clinically relevant question may have a “non-significant” p-value. Conversely, findings are considered clinically relevant when significant differences are observed between groups. To assume that p-value is not an exclusive indicator of an association or the existence of an effect, researchers should be encouraged to report other statistical analysis approaches as Bayesian analysis and complementary statistical tools alongside the p-value (eg, effect size, confidence intervals, minimal clinically important difference, and magnitude-based inference) to improve interpretation of the findings of clinical trials by presenting a more efficient and comprehensive analysis. However, the focus on Bayesian analysis and secondary statistical analyses does not mean that NHST is less important. Only that, to observe a real intervention effect, researchers should use a combination of secondary statistical analyses in conjunction with NHST or Bayesian statistical analysis to reveal what p-values cannot show in the geriatric and rehabilitation studies (eg, the clinical importance of 1kg increase in handgrip strength in the intervention group of long-lived older adults compared to a control group). This paper provides potential insights for improving the interpretation of scientific data in rehabilitation and geriatric fields by utilizing Bayesian and secondary statistical analyses to better scrutinize the results of clinical trials where a p-value alone may not be appropriate to determine the efficacy of an intervention.Faculdade de Ciências e Tecnologias em Saúde (FCTS) – Campus UnB CeilândiaPrograma de Pós-Graduação em Ciências e Tecnologias em SaúdePrograma de Pós-Graduação em Ciências da Reabilitaçãoreponame:Repositório Institucional da UnBinstname:Universidade de Brasília (UnB)instacron:UNBORIGINALARTIGO_FrequentistBayesianAnalysis.pdfARTIGO_FrequentistBayesianAnalysis.pdfapplication/pdf2508715http://repositorio.unb.br/bitstream/10482/54455/1/ARTIGO_FrequentistBayesianAnalysis.pdf03462d4a666a2e1319bdda3785fc538fMD51open accessLICENSElicense.txtlicense.txttext/plain102http://repositorio.unb.br/bitstream/10482/54455/2/license.txtaed4704d04bb260d4decd80db311aaa5MD52open access10482/544552026-05-25 09:48:04.259open accessoai:repositorio.unb.br:10482/54455U3VibWlzc8OjbyBlZmV0aXZhZGEgZGUgYWNvcmRvIGNvbSBsaWNlbsOnYSBjb25jZWRpZGEgcGVsbyBhdXRvciBlL291IGRldGVudG9yIGRvcyBkaXJlaXRvcyBhdXRvcmFpcy4KRepositório InstitucionalPUBhttps://repositorio.unb.br/oai/requestrepositorio@unb.bropendoar:2026-05-25T12:48:04Repositório Institucional da UnB - Universidade de Brasília (UnB)
spellingShingle Frequentist, bayesian analysis and complementary statistical tools for geriatric and rehabilitation fields : are traditional null-hypothesis significance testing methods sufficient?
Nascimento, Dahan da Cunha
Estatística
Análise bayesiana
Ferramentas de estudo
status_str publishedVersion
title Frequentist, bayesian analysis and complementary statistical tools for geriatric and rehabilitation fields : are traditional null-hypothesis significance testing methods sufficient?
title_full Frequentist, bayesian analysis and complementary statistical tools for geriatric and rehabilitation fields : are traditional null-hypothesis significance testing methods sufficient?
title_fullStr Frequentist, bayesian analysis and complementary statistical tools for geriatric and rehabilitation fields : are traditional null-hypothesis significance testing methods sufficient?
title_full_unstemmed Frequentist, bayesian analysis and complementary statistical tools for geriatric and rehabilitation fields : are traditional null-hypothesis significance testing methods sufficient?
title_short Frequentist, bayesian analysis and complementary statistical tools for geriatric and rehabilitation fields : are traditional null-hypothesis significance testing methods sufficient?
title_sort Frequentist, bayesian analysis and complementary statistical tools for geriatric and rehabilitation fields : are traditional null-hypothesis significance testing methods sufficient?
topic Estatística
Análise bayesiana
Ferramentas de estudo
url http://repositorio.unb.br/handle/10482/54455
https://doi.org/10.2147/CIA.S441799
http://orcid.org/0000-0002-6580-9404
http://orcid.org/0000-0001-9778-2800
http://orcid.org/0000-0001-6323-7003