A simulation study compares four causal methods for binary treatment and outcome and delivers a selection handbook tested on two real medical datasets.
Matching Methods for Causal Inference: A Review and a Look Forward.Statistical Science: a Review Journal of the Institute of Mathematical Statistics.2010;25(1):1
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Toward a practical handbook for choosing among causal inference methods in non-randomized studies with binary outcomes: A simulation study for applied researchers
A simulation study compares four causal methods for binary treatment and outcome and delivers a selection handbook tested on two real medical datasets.