dc.contributor.author | Sildnes, Beate | |
dc.contributor.author | Lindqvist, Bo Henry | |
dc.date.accessioned | 2017-11-21T14:31:16Z | |
dc.date.available | 2017-11-21T14:31:16Z | |
dc.date.created | 2017-09-10T23:39:25Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Lifetime Data Analysis. 2017, . | nb_NO |
dc.identifier.issn | 1380-7870 | |
dc.identifier.uri | http://hdl.handle.net/11250/2467404 | |
dc.description.abstract | In semi-competing risks one considers a terminal event, such as death of a person, and a non-terminal event, such as disease recurrence. We present a model where the time to the terminal event is the first passage time to a fixed level c in a stochastic process, while the time to the non-terminal event is represented by the first passage time of the same process to a stochastic threshold S, assumed to be independent of the stochastic process. In order to be explicit, we let the stochastic process be a gamma process, but other processes with independent increments may alternatively be used. For semi-competing risks this appears to be a new modeling approach, being an alternative to traditional approaches based on illness-death models and copula models. In this paper we consider a fully parametric approach. The likelihood function is derived and statistical inference in the model is illustrated on both simulated and real data. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Springer Verlag | nb_NO |
dc.title | Modeling of semi-competing risks by means of first passage times of a stochastic process | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 23 | nb_NO |
dc.source.journal | Lifetime Data Analysis | nb_NO |
dc.identifier.doi | 10.1007/s10985-017-9399-y | |
dc.identifier.cristin | 1492502 | |
dc.description.localcode | © Springer Verlag. This is the authors' accepted and refereed manuscript to the article. LOCKED until 22.7.2018 due to copyright restrictions. The final publication is available at https://link.springer.com/article/10.1007%2Fs10985-017-9399-y | nb_NO |
cristin.unitcode | 194,63,15,0 | |
cristin.unitname | Institutt for matematiske fag | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |