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‘Smooth’ inference for survival functions with arbitrarily censored data
We propose a procedure for estimating the survival function of a time-to-event random variable under arbitrary patterns of censoring. The method is predicated on the mild assumption that the distribution of the random variable, and hence the survival function, has a density that lies in a class of ‘...
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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: |
2008
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2605407/ https://ncbi.nlm.nih.gov/pubmed/18613273 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.3368 |
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