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Partial Partial Lik...
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Broström, GöranUmeå universitet,Statistiska institutionen
(author)
Partial Partial Likelihood
- Article/chapterEnglish2008
Publisher, publication year, extent ...
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Taylor & Francis,2008
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printrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:umu-9671
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https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-9671URI
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https://doi.org/10.1080/03610910701884021DOI
Supplementary language notes
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Language:English
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Summary in:English
Part of subdatabase
Classification
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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The maximum likelihood and maximum partial likelihood approaches to the proportional hazards model are unified. The purpose is to give a general approach to the analysis of the proportional hazards model, whether the baseline distribution is absolutely continuous, discrete, or a mixture. The advantage is that heavily tied data will be analyzed with a discrete time model, while data with no ties is analyzed with ordinary Cox regression. Data sets in between are treated by a compromise between the discrete time model and Efron's approach to tied data in survival analysis, and the transitions between modes are automatic. A simulation study is conducted comparing the proposed approach to standard methods of handling ties. A recent suggestion, that revives Breslow's approach to tied data, is finally discussed.
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Lindkvist, MarieUmeå universitet,Statistiska institutionen(Swepub:umu)mali0004
(author)
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Umeå universitetStatistiska institutionen
(creator_code:org_t)
Related titles
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In:Communications in statistics. Simulation and computation: Taylor & Francis37:4, s. 679-6860361-09181532-4141
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