Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/38807
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dc.contributor.authorCoemans, Maarten-
dc.contributor.authorVERBEKE, Geert-
dc.contributor.authorDoehler, Bernd-
dc.contributor.authorSuesal, Caner-
dc.contributor.authorNaesens, Maarten-
dc.date.accessioned2022-10-25T07:01:29Z-
dc.date.available2022-10-25T07:01:29Z-
dc.date.issued2022-
dc.date.submitted2022-10-14T15:37:13Z-
dc.identifier.citationBMJ-British Medical Journal, 378 (Art N° e071349)-
dc.identifier.urihttp://hdl.handle.net/1942/38807-
dc.description.abstractIn survival analysis, competing events preclude the occurrence of the event of interest. The censoring of competing events is common in medical studies but leads to biased cumulative incidence estimators. Competing risks methods, such as the non-parametric Aalen-Johansen method or the semi -parametric Fine and Gray model, alleviate this bias and should be preferred above the Kaplan-Meier method and the Cox model, respectively. As an illustrative example, in a large European cohort, we report on the differences in the cumulative incidence estimates of graft failure after kidney transplantation, caused by censoring for recipient death.-
dc.description.sponsorshipThere was no specific funding provided for the study. MC had financial support from the Fonds Wetenschappelijk Onderzoek (Research Foundation–Flanders) and the Agency for Innovation and Entrepreneurship by an “Applied Biomedical Research with a Primary Social Finality” project grant IWT.150199; MN is senior clinical investigator of the Fonds Wetenschappelijk Onderzoek (Research Foundation–Flanders) (grant 1844019N). The funding agencies had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication. All authors had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.-
dc.language.isoen-
dc.publisherBMJ PUBLISHING GROUP-
dc.subject.otherBias-
dc.subject.otherHumans-
dc.subject.otherSurvival Analysis-
dc.titleBias by censoring for competing events in survival analysis-
dc.typeJournal Contribution-
dc.identifier.volume378-
local.bibliographicCitation.jcatA1-
dc.description.notesNaesens, M (corresponding author), Katholieke Univ Leuven, Dept Microbiol Immunol & Transplantat, Leuven, Belgium.-
dc.description.notesmaarten.naesens@kuleuven.be-
local.publisher.placeBRITISH MED ASSOC HOUSE, TAVISTOCK SQUARE, LONDON WC1H 9JR, ENGLAND-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.bibliographicCitation.artnre071349-
dc.identifier.doi10.1136/bmj-2021-071349-
dc.identifier.pmid36100269-
dc.identifier.isi000860470700004-
dc.contributor.orcidNaesens, Maarten/0000-0002-5625-0792; Susal, Caner/0000-0003-2521-8201;-
dc.contributor.orcidVerbeke, Geert/0000-0001-8430-7576-
local.provider.typewosris-
local.description.affiliation[Coemans, Maarten; Naesens, Maarten] Katholieke Univ Leuven, Dept Microbiol Immunol & Transplantat, Leuven, Belgium.-
local.description.affiliation[Coemans, Maarten] Katholieke Univ Leuven, Leuven Biostat & Stat Bioinformat Ctr L Biostat, Leuven, Belgium.-
local.description.affiliation[Verbeke, Geert] Univ Hasselt, Interuniv Inst Biostat & Stat Bioinformat I Biost, Hasselt, Belgium.-
local.description.affiliation[Verbeke, Geert] Katholieke Univ Leuven, Leuven, Belgium.-
local.description.affiliation[Doehler, Bernd; Suesal, Caner] Heidelberg Univ, Inst Immunol, Heidelberg, Germany.-
local.description.affiliation[Suesal, Caner] Koc Univ, Transplant Immunol Res Ctr Excellence, Istanbul, Turkey.-
local.description.affiliation[Naesens, Maarten] Univ Hosp Leuven, Dept Nephrol & Renal Transplantat, Leuven, Belgium.-
local.uhasselt.internationalyes-
item.fulltextWith Fulltext-
item.accessRightsRestricted Access-
item.validationecoom 2023-
item.contributorCoemans, Maarten-
item.contributorVERBEKE, Geert-
item.contributorDoehler, Bernd-
item.contributorSuesal, Caner-
item.contributorNaesens, Maarten-
item.fullcitationCoemans, Maarten; VERBEKE, Geert; Doehler, Bernd; Suesal, Caner & Naesens, Maarten (2022) Bias by censoring for competing events in survival analysis. In: BMJ-British Medical Journal, 378 (Art N° e071349).-
crisitem.journal.issn0959-535X-
crisitem.journal.eissn1756-1833-
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