Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/48317
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dc.contributor.authorDUCHATEAU, Luc-
dc.contributor.authorJANSSEN, Paul-
dc.contributor.authorABRAMS, Steven-
dc.date.accessioned2026-01-29T14:44:33Z-
dc.date.available2026-01-29T14:44:33Z-
dc.date.issued2025-
dc.date.submitted2026-01-20T13:33:59Z-
dc.identifier.citationLovric, Miodrag (Ed.). International Encyclopedia of Statistical Science, p. 982 -992-
dc.identifier.isbn978-3-662-69358-2-
dc.identifier.isbn978-3-662-69359-9-
dc.identifier.urihttp://hdl.handle.net/1942/48317-
dc.description.abstractIn general, survival analysis techniques are used to analyze (censored) time-to-event data arising in different research fields like medicine, biology, epidemiology, economics, and engineering, to name a few. In survival analysis, one typically focuses on the hazard function representing the instantaneous rate of experiencing the event of interest at a specific time point, conditional on not having experienced it before.-
dc.language.isoen-
dc.titleFrailty Model, The-
dc.typeBook Section-
dc.relation.edition2-
local.bibliographicCitation.authorsLovric, Miodrag-
dc.identifier.epage992-
dc.identifier.spage982-
local.bibliographicCitation.jcatB2-
local.type.refereedNon-Refereed-
local.type.specifiedBook Section-
dc.identifier.doi10.1007/978-3-662-69359-9_694-
local.provider.typeCrossRef-
local.bibliographicCitation.btitleInternational Encyclopedia of Statistical Science-
local.uhasselt.internationalyes-
item.fulltextNo Fulltext-
item.contributorDUCHATEAU, Luc-
item.contributorJANSSEN, Paul-
item.contributorABRAMS, Steven-
item.accessRightsClosed Access-
item.fullcitationDUCHATEAU, Luc; JANSSEN, Paul & ABRAMS, Steven (2025) Frailty Model, The. In: Lovric, Miodrag (Ed.). International Encyclopedia of Statistical Science, p. 982 -992.-
Appears in Collections:Research publications
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