Noncompliance refers to the failure of participants in a study or trial to adhere to the assigned treatment or intervention. This can impact the validity of results, as it complicates the estimation of treatment effects and introduces bias. Understanding noncompliance is crucial in causal inference, especially when interpreting findings related to local average treatment effects (LATE).
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