In causal inference, the causal effect refers to the effect of a treatment on the outcome.
To validate if a causal effect estimation approach works, synthetic or semi-synthetic data are often used as they provide the ground truth of counterfactual outcomes, which are unavailable in real data.
The sample is full of synthetic data. How to analyze it from the real world excel data? These data are often some features, and there is no treatment.