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Nonparametric Regression With Missing Outcomes Using Weighted Kernel Estimating Equations
We consider nonparametric regression of a scalar outcome on a covariate when the outcome is missing at random (MAR) given the covariate and other observed auxiliary variables. We propose a class of augmented inverse probability weighted (AIPW) kernel estimating equations for nonparametric regression...
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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/PMC3491912/ https://ncbi.nlm.nih.gov/pubmed/23144520 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1198/jasa.2010.tm08463 |
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