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Cumulative Incidence Association Models for Bivariate Competing Risks Data

Association models, like frailty and copula models, are frequently used to analyze clustered survival data and evaluate within-cluster associations. The assumption of noninformative censoring is commonly applied to these models, though it may not be true in many situations. In this paper, we conside...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
मुख्य लेखकों: Cheng, Yu, Fine, Jason P.
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: 2012
विषय:
ऑनलाइन पहुंच:https://ncbi.nlm.nih.gov/pmc/articles/PMC3322730/
https://ncbi.nlm.nih.gov/pubmed/22505835
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1467-9868.2011.01012.x
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