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dc.contributor.authorCortés Martínez, Jordi
dc.contributor.authorGonzález Alastrué, José Antonio
dc.contributor.authorCampbell, Michael J.
dc.contributor.authorCobo Valeri, Erik
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Estadística i Investigació Operativa
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.date.accessioned2021-02-10T08:53:18Z
dc.date.available2021-02-10T08:53:18Z
dc.date.issued2014-10-01
dc.identifier.citationCortes, J. [et al.]. A hazard ratio was estimated by a ratio of median survival times, but with considerable uncertainty. "Journal of clinical epidemiology", 1 Octubre 2014, vol. 67, núm. 1, p. 1172-1177.
dc.identifier.issn0895-4356
dc.identifier.urihttp://hdl.handle.net/2117/338196
dc.description.abstractObjectives: To evaluate the empirical concordance between the hazard ratio (HR) and the median ratio (MR) in survival cancer studies. Study Design and Setting: We selected all cancer survival articles from the New England Journal of Medicine published between 2000 and 2010. The qualitative concordance was estimated by the proportion of measured pairs in which the treatment effects for the MR and HR are in the same direction. The quantitative concordance was assessed through (1) the mean difference between the logarithms of the measures, (2) the Lin coefficient, and (3) the Bland–Altman plot. Results: We retrieved 106 measured pairs (HR–MR) corresponding to 54 articles. Concordance was high, at both the qualitative (99 of 106, 93.4%) and quantitative levels (mean MR-to-HR ratio, 1.01; 95% confidence interval: 0.95, 1.06). However, the 95% Bland–Altman discordance limits indicate that the MR can be up to 50% higher or 50% lower than the HR. Conclusion: The average concordance allows trialists to approximate HR from MR to determine sample size. However, the discordance limits are too great to consider that both measures are interchangeable. The actual policy to report HR only is not enough. Our results emphasize the need to attach descriptive survival measures to the HR.
dc.format.extent6 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències
dc.subject.lcshBiomathematics
dc.subject.otherHazard ratio
dc.subject.otherMedian ratio
dc.subject.otherConcordance
dc.subject.otherSurvival
dc.subject.otherClinical trial
dc.subject.otherCancer
dc.titleA hazard ratio was estimated by a ratio of median survival times, but with considerable uncertainty
dc.typeArticle
dc.subject.lemacBiomatemàtica
dc.contributor.groupUniversitat Politècnica de Catalunya. GNOM - Grup d'Optimització Numèrica i Modelització
dc.contributor.groupUniversitat Politècnica de Catalunya. GRBIO - Grup de Recerca en Bioestadística i Bioinformàtica
dc.identifier.doi10.1016/j.jclinepi.2014.05.017
dc.description.peerreviewedPeer Reviewed
dc.subject.amsClassificació AMS::92 Biology and other natural sciences::92B Mathematical biology in general
dc.relation.publisherversionhttp://www.jclinepi.com/article/S0895-4356%2814%2900227-3/abstract
dc.rights.accessOpen Access
local.identifier.drac15228476
dc.description.versionPostprint (author's final draft)
local.citation.authorCortes, J.; Gonzalez, J.; Campbell , M.J.; Cobo, E.
local.citation.publicationNameJournal of clinical epidemiology
local.citation.volume67
local.citation.number1
local.citation.startingPage1172
local.citation.endingPage1177


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