Bounds on Causal Effects Based on Expectations in Ordered-Outcome Models
Bounding causal effects under unmeasured confounding is particularly challenging when the outcome variable is ordinal. When the goal is to assess whether an intervention leads to a better outcome, ordinal causal effects offer a more appropriate analytical framework. In contrast, the average causal e...
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| Autores principales: | , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI AG
2025-09-01
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| Colección: | Mathematics |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/2227-7390/13/19/3103 |
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