Practical Guide to Honest Causal Forests for Identifying Heterogeneous Treatment Effects.
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DOI: 10.1093/aje/kwad043
Abstract: "Heterogeneous treatment effects" is a term which refers to conditional average treatment effects (i.e., CATEs) that vary across population subgroups. Epidemiologists are often interested in estimating such effects because they can help detect populations who… read more here.
Keywords: heterogeneous treatment; treatment effects; causal forests; honest causal ... See more keywords