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CAUSAL INFERENCE IN THE CONTEXT OF AN ERROR PRONE EXPOSURE: AIR POLLUTION AND MORTALITY
We propose a new approach for estimating causal effects when the exposure is measured with error and confounding adjustment is performed via a generalized propensity score (GPS). Using validation data, we propose a regression calibration (RC)-based adjustment for a continuous error-prone exposure co...
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| Publicado en: | Ann Appl Stat |
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| Autores principales: | , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6812524/ https://ncbi.nlm.nih.gov/pubmed/31649797 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/18-AOAS1206 |
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