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http://hdl.handle.net/1942/25904
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DC Field | Value | Language |
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dc.contributor.author | PRENEN, Leen | - |
dc.contributor.author | BRAEKERS, Roel | - |
dc.contributor.author | DUCHATEAU, Luc | - |
dc.date.accessioned | 2018-04-16T08:52:08Z | - |
dc.date.available | 2018-04-16T08:52:08Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Lifetime data analysis, 24 (4), pag. 719-742 | - |
dc.identifier.issn | 1380-7870 | - |
dc.identifier.uri | http://hdl.handle.net/1942/25904 | - |
dc.description.abstract | The correlation structure imposed on multivariate time to event data is often of a simple nature, such as in the shared frailty model where pairwise correlations between event times in a cluster are all the same. In modeling the infection times of the four udder quarters clustered within the cow, more complex correlation structures are possibly required, and if so, such more complex correlation structures give more insight in the infection process. In this article, we will choose a marginal approach to study more complex correlation structures, therefore leaving the modeling of marginal distributions unaffected by the association parameters. The dependency of failure times will be induced through copula functions. The methods are shown for (mixtures of) the Clayton copula, but can be generalized to mixtures of Archimedean copulas for which the nesting conditions are met (McNeil in J Stat Comput Simul 6:567–581, 2008; Hofert in Comput Stat Data Anal 55:57–70, 2011). | - |
dc.description.sponsorship | The authors would like to gratefully acknowledge the financial support from the Interuniversity Attraction Poles Programme (IAP-network P7/06) of the Belgian Science Policy Office. For the simulations we used the infrastructure of the VSC-Flemish Supercomputer Center, funded by the Hercules Foundation and the Flemish Government-Department Economy, Science and Innovation. | - |
dc.language.iso | en | - |
dc.rights | © Springer Science+Business Media, LLC 2017 | - |
dc.subject.other | quadrivariate event times; Archimedean copula; mastitis; correlation structures | - |
dc.title | Investigating the correlation structure of quadrivariate udder infection times through hierarchical Archimedean copulas | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 742 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 719 | - |
dc.identifier.volume | 24 | - |
local.format.pages | 24 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Prenen, L (reprint author), Univ Hasselt, Interuniv Inst Biostat & Stat Bioinformat, Martelarenlaan 42, B-3500 Hasselt, Belgium. leen.prenen@uhasselt.be | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.identifier.vabb | c:vabb:437777 | - |
local.bibliographicCitation.status | In press | - |
local.type.programme | VSC | - |
dc.identifier.doi | 10.1007/s10985-017-9411-6 | - |
dc.identifier.isi | 000452912700013 | - |
item.fullcitation | PRENEN, Leen; BRAEKERS, Roel & DUCHATEAU, Luc (2018) Investigating the correlation structure of quadrivariate udder infection times through hierarchical Archimedean copulas. In: Lifetime data analysis, 24 (4), pag. 719-742. | - |
item.fulltext | With Fulltext | - |
item.validation | vabb 2019 | - |
item.contributor | PRENEN, Leen | - |
item.contributor | BRAEKERS, Roel | - |
item.contributor | DUCHATEAU, Luc | - |
item.accessRights | Open Access | - |
crisitem.journal.issn | 1380-7870 | - |
crisitem.journal.eissn | 1572-9249 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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lida_blindmanuscript_edm.pdf | Peer-reviewed author version | 565.47 kB | Adobe PDF | View/Open |
s10985-017-9411-6.pdf Restricted Access | Published version | 962.99 kB | Adobe PDF | View/Open Request a copy |
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