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General regression model for the subdistribution of a competing risk under left-truncation and right-censoring
Left-truncation poses extra challenges for the analysis of complex time-to-event data. We propose a general semiparametric regression model for left-truncated and right-censored competing risks data that is based on a novel weighted conditional likelihood function. Targeting the subdistribution haza...
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| 出版年: | Biometrika |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7799183/ https://ncbi.nlm.nih.gov/pubmed/33462536 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/asaa034 |
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