Bridging the Gap Between Design and Analysis: Randomization Inference and Sensitivity Analysis for Matched Observational Studies with Treatment Doses

Matching is a commonly used causal inference study design in observational studies. Through matching on measured confounders between different treatment groups, valid randomization inferences can be conducted under the no unmeasured confounding assumption, and sensitivity analysis can be further per...

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Hauptverfasser:	Zhang, Jeffrey, Heng, Siyu
Format:	Artikel
Sprache:	eng
Schlagworte:	Statistics - Methodology
Online-Zugang:	Volltext bestellen
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