A sufficient adjustment set is a collection of pretreatment variables for which treatment and every relevant potential outcome are conditionally independent. Adjustment for that set identifies the corresponding causal contrast under consistency and positivity.
A minimal sufficient adjustment set is a sufficient adjustment set none of whose proper subsets is sufficient. Minimality is by set inclusion and does not imply minimum cardinality or uniqueness.

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  1. Backdoor adjustment set
  2. Backdoor path
  3. Backdoor (causal analysis)
  4. Causal directed acyclic graph
  5. Causal inference
  6. Probability and statistics
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