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S-values and Surprisal intervals to Replace P-values and Confidence Intervals: Accepted - January 2024

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Resumo:Misuse of statistical significance continues to be prevalent in science. The absence of intuitive explanations of this concept often leads researchers to incorrect conclusions. For this reason, some statisticians suggest adopting S-values (surprisals) instead of P-values, as they relate the statistical relevance of an event to the number of consecutive heads when flipping an unbiased coin. This paper introduces the concept of surprisal intervals (S-intervals) as extensions of confidence/compatibility intervals. The proposed approach imposes the assessment of outcomes in terms of more and less surprising than some values, instead of statistically significant and statistically non-significant. Moreover, a novel methodology for presenting multiple consecutive S-intervals (or compatibility intervals as well) in order to evaluate the variation in surprise (or compatibility) with various target hypotheses is discussed.
Autores principais:Rovetta, Alessandro
Outros Autores:Alessandro Rovetta
Assunto:confidence intervals epidemiology hypothesis testing public health significance surprisal
Ano:2025
País:Portugal
Tipo de documento:artigo
Tipo de acesso:unknown
Instituição associada:Instituto Nacional de Estatística
Idioma:inglês
Origem:REVSTAT-Statistical Journal
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author Rovetta, Alessandro
author2 Alessandro Rovetta
author2_role author
author_facet Rovetta, Alessandro
Alessandro Rovetta
author_role author
country_str PT
creators_json_txt [{\"Person.name\":\"Rovetta, Alessandro\"},{\"Person.name\":\"Alessandro Rovetta\"}]
datacite.creators.creator.creatorName.fl_str_mv Rovetta, Alessandro
Alessandro Rovetta
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv confidence intervals
epidemiology
hypothesis testing
public health
significance
surprisal
datacite.titles.title.fl_str_mv S-values and Surprisal intervals to Replace P-values and Confidence Intervals: Accepted - January 2024
dc.creator.none.fl_str_mv Rovetta, Alessandro
Alessandro Rovetta
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://doi.org/10.57805/revstat.v23i4.669
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Statistics Portugal
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.rights.copyright.fl_str_mv https://creativecommons.org/licenses/by/4.0
dc.source.none.fl_str_mv REVSTAT-Statistical Journal; Vol. 23 No. 4 (2025): REVSTAT-Statistical Journal; 491-502
REVSTAT; Vol. 23 N.º 4 (2025): REVSTAT-Statistical Journal; 491-502
2183-0371
1645-6726
dc.subject.none.fl_str_mv confidence intervals
epidemiology
hypothesis testing
public health
significance
surprisal
dc.title.fl_str_mv S-values and Surprisal intervals to Replace P-values and Confidence Intervals: Accepted - January 2024
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description Misuse of statistical significance continues to be prevalent in science. The absence of intuitive explanations of this concept often leads researchers to incorrect conclusions. For this reason, some statisticians suggest adopting S-values (surprisals) instead of P-values, as they relate the statistical relevance of an event to the number of consecutive heads when flipping an unbiased coin. This paper introduces the concept of surprisal intervals (S-intervals) as extensions of confidence/compatibility intervals. The proposed approach imposes the assessment of outcomes in terms of more and less surprising than some values, instead of statistically significant and statistically non-significant. Moreover, a novel methodology for presenting multiple consecutive S-intervals (or compatibility intervals as well) in order to evaluate the variation in surprise (or compatibility) with various target hypotheses is discussed.
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inst_facet_str urn:organizationAcronym:revstat-statistical journal{{{_:::_}}}Instituto Nacional de Estatística
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organization_str_mv urn:organizationAcronym:revstat-statistical journal
person_str_mv Rovetta, Alessandro
Alessandro Rovetta
publishDate 2025
publisher.none.fl_str_mv Statistics Portugal
repo_facet_str urn:repositoryAcronym:revstat{{{_:::_}}}REVSTAT-Statistical Journal
reponame_str REVSTAT-Statistical Journal
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spelling enS-values and Surprisal intervals to Replace P-values and Confidence Intervals: Accepted - January 2024Rovetta, AlessandroAlessandro Rovettaconfidence intervalsepidemiologyhypothesis testingpublic healthsignificancesurprisalCopyright (c) 2025 REVSTAT-Statistical Journalhttp://purl.org/coar/access_right/c_abf2https://doi.org/10.57805/revstat.v23i4.669DOIhttps://revstat.ine.pt/index.php/REVSTAT/article/view/669URLHasVersionhttps://revstat.ine.pt/index.php/REVSTAT/article/view/669/819URLHasVersionhttps://doi.org/10.57805/revstat.v23i4.669DOI2025-12-19enMisuse of statistical significance continues to be prevalent in science. The absence of intuitive explanations of this concept often leads researchers to incorrect conclusions. For this reason, some statisticians suggest adopting S-values (surprisals) instead of P-values, as they relate the statistical relevance of an event to the number of consecutive heads when flipping an unbiased coin. This paper introduces the concept of surprisal intervals (S-intervals) as extensions of confidence/compatibility intervals. The proposed approach imposes the assessment of outcomes in terms of more and less surprising than some values, instead of statistically significant and statistically non-significant. Moreover, a novel methodology for presenting multiple consecutive S-intervals (or compatibility intervals as well) in order to evaluate the variation in surprise (or compatibility) with various target hypotheses is discussed.Statistics Portugalapplication/pdfenREVSTAT-Statistical Journal; Vol. 23 No. 4 (2025): REVSTAT-Statistical Journal; 491-502pt-PTREVSTAT; Vol. 23 N.º 4 (2025): REVSTAT-Statistical Journal; 491-5022183-03711645-6726engjournal articlehttp://purl.org/coar/resource_type/c_6501literatureVoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85https://creativecommons.org/licenses/by/4.0
spellingShingle S-values and Surprisal intervals to Replace P-values and Confidence Intervals: Accepted - January 2024
Rovetta, Alessandro
confidence intervals
epidemiology
hypothesis testing
public health
significance
surprisal
status SINGLETON
status_str VoR
subject.fl_str_mv confidence intervals
epidemiology
hypothesis testing
public health
significance
surprisal
title S-values and Surprisal intervals to Replace P-values and Confidence Intervals: Accepted - January 2024
title_full S-values and Surprisal intervals to Replace P-values and Confidence Intervals: Accepted - January 2024
title_fullStr S-values and Surprisal intervals to Replace P-values and Confidence Intervals: Accepted - January 2024
title_full_unstemmed S-values and Surprisal intervals to Replace P-values and Confidence Intervals: Accepted - January 2024
title_short S-values and Surprisal intervals to Replace P-values and Confidence Intervals: Accepted - January 2024
title_sort S-values and Surprisal intervals to Replace P-values and Confidence Intervals: Accepted - January 2024
topic confidence intervals
epidemiology
hypothesis testing
public health
significance
surprisal
topic_facet confidence intervals
epidemiology
hypothesis testing
public health
significance
surprisal
url https://doi.org/10.57805/revstat.v23i4.669
visible 1