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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....

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Detalles Bibliográficos
Autores principales: Jin, Ying, Ren, Zhimei, Candès, Emmanuel J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
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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