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Quantifying time-varying cause-specific hazards and subdistribution hazards ratios with competing risks data
Various non-proportional hazards model have been developed in the literature for competing risks data. The regression coefficients under these models, however, typically cannot be compared directly. We propose new methods to quantify the average of the time-varying cause-specific hazard ratios and s...
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| 出版年: | Clin Trials |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8258606/ https://ncbi.nlm.nih.gov/pubmed/31165631 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1740774519852708 |
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