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Quantile Regression for Competing Risks Data with Missing Cause of Failure
This paper considers generalized linear quantile regression for competing risks data when the failure type may be missing. Two estimation procedures for the regression co-efficients, including an inverse probability weighted complete-case estimator and an augmented inverse probability weighted estim...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3742132/ https://ncbi.nlm.nih.gov/pubmed/23950622 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5705/ss.2010.093 |
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