Propensity Score Matching: should we use it in designing observational studies?

Abstract Background Propensity Score Matching (PSM) stands as a widely embraced method in comparative effectiveness research. PSM crafts matched datasets, mimicking some attributes of randomized designs, from observational data. In a valid PSM design where all baseline confounders are measured and m...

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Autor principal:	Fei Wan
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2025-01-01
Col·lecció:	BMC Medical Research Methodology
Matèries:	Sample average treatment effect Population average treatment effect Imbalance Model misspecification Bias
Accés en línia:	https://doi.org/10.1186/s12874-025-02481-w
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