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Identification and estimation of causal effects with outcomes truncated by death
It is common in medical studies that the outcome of interest is truncated by death, meaning that a subject has died before the outcome could be measured. In this case, restricted analysis among survivors may be subject to selection bias. Hence, it is of interest to estimate the survivor average caus...
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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
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5793679/ https://ncbi.nlm.nih.gov/pubmed/29430035 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/asx034 |
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