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Quantile Regression for Doubly Censored Data
Double censoring often occurs in registry studies when left censoring is present in addition to right censoring. In this work, we propose a new analysis strategy for such doubly censored data by adopting a quantile regression model. We develop computationally simple estimation and inference procedur...
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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: |
2011
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3312995/ https://ncbi.nlm.nih.gov/pubmed/21950348 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2011.01667.x |
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