Causal inference is the study of methods for imputing causes from statistical information. Researchers regularly use statistical methods for inferring causes from experimental and observational data. Often, statistical methods applied to observational data do not differentiate between model effects based on treatment and those based on assignment or other confounding factors, thus leading to misleading inferences. Causal inference attempts to resolve confounding factors through the application of a variety of techniques.

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