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Chinese Journal of Epidemiology ; (12): 458-462, 2005.
Article in Chinese | WPRIM | ID: wpr-331855

ABSTRACT

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


Subject(s)
Humans , Algorithms , Bias , Data Interpretation, Statistical , Models, Statistical , Monte Carlo Method , Research Design , Risk Adjustment
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