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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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2022
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| 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 |