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Generalizing Quantile Regression for Counting Processes with Applications to Recurrent Events
In survival analysis, quantile regression has become a useful approach to account for covariate effects on the distribution of an event time of interest. In this paper, we discuss how quantile regression can be extended to model counting processes, and thus lead to a broader regression framework for...
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| Опубликовано в: : | J Am Stat Assoc |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2016
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4872875/ https://ncbi.nlm.nih.gov/pubmed/27212738 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2014.995795 |
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