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


CONCLUSIONS
For large and complicated data, propensity score methods had more flexibility in practical use than model based methods.
Wang
Tao
T
Department of Health Statistics and Community Health, School of Public Health, Fudan University, Shanghai 200032, China.
Yamaguchi
Takuhiro
T
Ohashi
Yasuo
Y
Feng
Xue-shan
XS
Jiang
Qing-wu
QW
D000465:Algorithms; D015982:Bias; D015986:Confounding Factors, Epidemiologic; D003627:Data Interpretation, Statistical; D006801:Humans; D015233:Models, Statistical; D009010:Monte Carlo Method; D012107:Research Design; D020379:Risk Adjustment