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HIGH DIMENSIONAL CENSORED QUANTILE REGRESSION
Censored quantile regression (CQR) has emerged as a useful regression tool for survival analysis. Some commonly used CQR methods can be characterized by stochastic integral-based estimating equations in a sequential manner across quantile levels. In this paper, we analyze CQR in a high dimensional s...
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| 出版年: | Ann Stat |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6193274/ https://ncbi.nlm.nih.gov/pubmed/30344355 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/17-AOS1551 |
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