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Locally Efficient Semiparametric Estimators for Proportional Hazards Models with Measurement Error
We propose a new class of semiparametric estimators for proportional hazards models in the presence of measurement error in the covariates, where the baseline hazard function, the hazard function for the censoring time, and the distribution of the true covariates are considered as unknown infinite d...
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| Publicado no: | Scand Stat Theory Appl |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4955637/ https://ncbi.nlm.nih.gov/pubmed/27453626 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/sjos.12191 |
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