A Causal Calculus for Statistical Research
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Deciding whether the information available in a given observational study is sufficient for obtaining consistent estimates of causal effects.
Deriving algebraic expressions for causal effect estimands.
Selecting measurements that would render randomized experiments unnecessary.
Selecting a set of indirect (randomized) experiments to replace direct experiments that are either infeasible or too expensive.
Predicting (or bounding) the efficacy of treatments from randomized trials with imperfect compliance.
KeywordsCausal Effect Causal Theory Manipulate Variable Causal Information Causal Diagram
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