A sound and complete local learning procedure that identifies valid adjustment sets for nonparametric average causal effect estimation inside a characterized boundary, without pretreatment or causal sufficiency assumptions.
Using R3(i), no conditioning set renders f oto2 and mikro2 independent
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Local Covariate Selection for Average Causal Effect Estimation without Pretreatment and Causal Sufficiency Assumptions
A sound and complete local learning procedure that identifies valid adjustment sets for nonparametric average causal effect estimation inside a characterized boundary, without pretreatment or causal sufficiency assumptions.