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Path-specific harm decomposition: A partial identification framework

Yan, Ruizi et al.
arXiv (All) · Papers
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machine-learning
A central goal when designing treatment policies is often to "do no harm", that is, to avoid interventions that improve average outcomes while worsening outcomes for some individuals. A widely used notion for harm is the fraction of negatively affected (FNA), defined as the probability that an inter
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