Abstract:
:We propose a fully parametric model for the analysis of competing risks data where the types of failure may not be independent. We show how the dependence between the cause-specific survival times can be modelled with a copula function. Features include: identifiability of the problem; accessible understanding of the dependence structures; and flexibility in choosing marginal survival functions. The model is constructed in such a way that it allows us to adjust for concomitant variables and for a dependence parameter to assess the effects of these on each marginal survival model and on the relationship between the causes of death. The methods are applied to a prostate cancer data set. We find that, with the copula model, more accurate inferences are obtained than with the use of a simpler model such as the independent competing risks approach.
journal_name
Stat Methods Med Resjournal_title
Statistical methods in medical researchauthors
Escarela G,Carrière JFdoi
10.1191/0962280203sm335rasubject
Has Abstractpub_date
2003-08-01 00:00:00pages
333-49issue
4eissn
0962-2802issn
1477-0334journal_volume
12pub_type
杂志文章abstract::A central assumption in the design and conduct of non-inferiority trials is that the active-control therapy will have the same degree of effectiveness in the planned non-inferiority trial as in the prior placebo-controlled trials used to define the non-inferiority margin. This is referred to as the 'constancy' assumpt...
journal_title:Statistical methods in medical research
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doi:10.1177/0962280218801134
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journal_title:Statistical methods in medical research
pub_type: 杂志文章,评审
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journal_title:Statistical methods in medical research
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journal_title:Statistical methods in medical research
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journal_title:Statistical methods in medical research
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doi:10.1177/0962280210379365
更新日期:2012-08-01 00:00:00
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journal_title:Statistical methods in medical research
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更新日期:2011-06-01 00:00:00
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journal_title:Statistical methods in medical research
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journal_title:Statistical methods in medical research
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journal_title:Statistical methods in medical research
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journal_title:Statistical methods in medical research
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journal_title:Statistical methods in medical research
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doi:10.1177/0962280206071839
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journal_title:Statistical methods in medical research
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