[A Monte-Carlo study for propensity score methods]

Zhonghua Liu Xing Bing Xue Za Zhi. 2005 Jun;26(6):458-62.
[Article in Chinese]

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.

MeSH terms

  • Algorithms
  • Bias
  • Confounding Factors, Epidemiologic*
  • Data Interpretation, Statistical
  • Humans
  • Models, Statistical
  • Monte Carlo Method*
  • Research Design
  • Risk Adjustment*