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Sensitivity analysis of individual treatment effects: A robust conformal inference approach
We propose a model-free framework for sensitivity analysis of individual treatment effects (ITEs), building upon ideas from conformal inference. For any unit, our procedure reports the Γ-value, a number which quantifies the minimum strength of confounding needed to explain away the evidence for ITE....
Autores principales: | Jin, Ying, Ren, Zhimei, Candès, Emmanuel J. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963599/ https://www.ncbi.nlm.nih.gov/pubmed/36730196 http://dx.doi.org/10.1073/pnas.2214889120 |
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