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A doubly robust estimator for the average treatment effect in the context of a mean-reverting measurement error
One of the main limitations of causal inference methods is that they rely on the assumption that all variables are measured without error. A popular approach for handling measurement error is simulation-extrapolation (SIMEX). However, its use for estimating causal effects have been examined only in...
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| Pubblicato in: | Biostatistics |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6415727/ https://ncbi.nlm.nih.gov/pubmed/27993763 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxw046 |
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