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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| Asıl Yazarlar: | , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
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MDPI AG
2025-09-01
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| Seri Bilgileri: | Mathematics |
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| Online Erişim: | https://www.mdpi.com/2227-7390/13/19/3103 |
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