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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...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2012
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| 主題: | |
| オンライン･アクセス: | 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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