Causal Identification
12 papers with code • 0 benchmarks • 1 datasets
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BCOPA-CE
Most implemented papers
RCT Rejection Sampling for Causal Estimation Evaluation
We contribute a new sampling algorithm, which we call RCT rejection sampling, and provide theoretical guarantees that causal identification holds in the observational data to allow for valid comparisons to the ground-truth RCT.
Hierarchical Causal Models
Scientists often want to learn about cause and effect from hierarchical data, collected from subunits nested inside units.
