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Estimation and inference of error-prone covariate effect in the presence of confounding variables()
We introduce a general single index semiparametric measurement error model for the case that the main covariate of interest is measured with error and modeled parametrically, and where there are many other variables also important to the modeling. We propose a semiparametric bias-correction approach...
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| Publicado no: | Electron J Stat |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5626476/ https://ncbi.nlm.nih.gov/pubmed/28983388 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/17-EJS1242 |
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