Targeting resources efficiently and justifiably by combining causal machine learning and theory

INTRODUCTION: Efficient allocation of limited resources relies on accurate estimates of potential incremental benefits for each candidate. These heterogeneous treatment effects (HTE) can be estimated with properly specified theory-driven models and observational data that contain all confounders. Us...

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Detalles Bibliográficos
Autor principal: Gur Ali, Ozden
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768181/
https://www.ncbi.nlm.nih.gov/pubmed/36568581
http://dx.doi.org/10.3389/frai.2022.1015604

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768181/
https://www.ncbi.nlm.nih.gov/pubmed/36568581
http://dx.doi.org/10.3389/frai.2022.1015604

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