targeted learning in data science causal inferenc
Kayden Denesik
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and semiparametric theory. Assumption-Dependent: Validity hinges on assumptions like positivity and no unmeasured confounding. Sensitivity to Data Quality: Poor data quality can undermine the benefits. Emerging Trends and Future Directions Integration with
