Beyond conditional averages: Estimating the individual causal effect distribution

In recent years, the field of causal inference from observational data has emerged rapidly. The literature has focused on (conditional) average causal effect estimation. When (remaining) variability of individual causal effects (ICEs) is considerable, average effects may be uninformative for an indi...

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Autors principals:	Post Richard A. J., van den Heuvel Edwin R.
Format:	Artigo
Idioma:	Inglês
Publicat:	De Gruyter 2025-05-01
Col·lecció:	Journal of Causal Inference
Matèries:	causal inference heterogeneity of treatment effects precision medicine bayesian analysis random effects models 62d20 62f15 62p10
Accés en línia:	https://doi.org/10.1515/jci-2024-0007
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