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Censoring for loss to follow-up in time-to-event analyses of composite outcomes or in the presence of competing risks
BACKGROUND: In time-to-event analyses, there is limited guidance on when persons who are lost to follow-up (LTFU) should be censored. METHODS: We simulated bias in risk estimates for: (1) a composite event of measured (outcome only observable in a patient encounter) and captured events (outcome obse...
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| 出版年: | Epidemiology |
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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/PMC6768756/ https://ncbi.nlm.nih.gov/pubmed/31393316 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/EDE.0000000000001073 |
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