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Propensity score matching (PSM) is a widely used method for performing causal inference with observational data. PSM requires fully specifying the set of confounding variables of treatment and outcome. In the case of relational data, this set may include non-intuitive relational variables, i.e., variables derived from the relational structure of the data.(More)
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