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Estimation of the average treatment effect with variable selection and measurement error simultaneously addressed for potential confounders
In the framework of causal inference, the inverse probability weighting estimation method and its variants have been commonly employed to estimate the average treatment effect. Such methods, however, are challenged by the presence of irrelevant pre-treatment variables and measurement error. Ignoring...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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SAGE Publications
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10119903/ https://www.ncbi.nlm.nih.gov/pubmed/36694932 http://dx.doi.org/10.1177/09622802221146308 |