Causal Inference
Compliance refers to the extent to which participants in a study adhere to the assigned treatment or intervention, particularly in randomized controlled trials. It is essential to understanding how well the treatment works in practice because high levels of compliance indicate that the results can be attributed to the treatment rather than external factors. In causal inference, especially when discussing Local Average Treatment Effects (LATE), compliance becomes crucial for identifying and interpreting the effects of treatment on specific subgroups within a population.
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