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PubMed · 16185467

[A Monte-Carlo study for propensity score methods].

Tao Wang·Takuhiro Yamaguchi·Yasuo Ohashi·Xue-shan Feng·Qing-wu Jiang
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Abstract

OBJECTIVE: To evaluate the statistical property of the estimators on exposure effect and value of propensity score methods in practical use. METHODS: Simulation data, propensity score methods (PSM) were conducted to assess bias and efficiency, under both with/without model misspecification conditions. RESULTS: Under model misspecification conditions, propensity score methods had better robustness than model based methods. CONCLUSION: For large and complicated data, propensity score methods had more flexibility in practical use than model based methods.

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AlgorithmsBiasConfounding Factors, EpidemiologicData Interpretation, StatisticalHumansModels, StatisticalMonte Carlo MethodResearch DesignRisk AdjustmentJournal Article

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Tao Wang, Takuhiro Yamaguchi, Yasuo Ohashi, Xue-shan Feng, Qing-wu Jiang. 2005. [A Monte-Carlo study for propensity score methods].. https://pubmed.ncbi.nlm.nih.gov/16185467/

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