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most citedPowering population health research: Considerations for plausible and actionable effect sizes

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A Universal Framework for Factorial Matched Observational Studies with General Treatment Types: Design, Analysis, and Applications

Jianan Zhu, Tianruo Zhang, Diana Silver +4

Matching is one of the most widely used causal inference frameworks in observational studies. However, all the existing matching-based causal inference methods are designed for eit…