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Quantile Regression Adjusting for Dependent Censoring from Semi-Competing Risks
In this work, we study quantile regression when the response is an event time subject to potentially dependent censoring. We consider the semi-competing risks setting, where time to censoring remains observable after the occurrence of the event of interest. While such a scenario frequently arises in...
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| I publikationen: | J R Stat Soc Series B Stat Methodol |
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| Huvudupphovsmän: | , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2014
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4283952/ https://ncbi.nlm.nih.gov/pubmed/25574152 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/rssb.12063 |
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