Bridging binarization: causal inference with dichotomized continuous exposures
The average treatment effect (ATE) is a common parameter estimated in causal inference literature, but it is only defined for binary exposures. Thus, despite concerns raised by some researchers, many studies seeking to estimate the causal effect of a continuous exposure create a new binary exposure...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
De Gruyter
2026-01-01
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| Colección: | Journal of Causal Inference |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1515/jci-2024-0049 |
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