Explain the concept of 'Heterogeneity of Treatment Effects' in causal inference.
Instruction: Provide a detailed explanation of what 'Heterogeneity of Treatment Effects' means and its importance in designing and interpreting causal studies.
Context: This question assesses the candidate's understanding of how treatment effects can vary among different subgroups within a study, and why recognizing this variance is crucial in drawing accurate conclusions from causal inference studies.
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HTE suggests that the effect of a treatment—say, a new drug, a training program, or a digital ad campaign—doesn't apply...