title: [A Monte-Carlo study for propensity score methods].
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.
  
  
  CONCLUSIONS
  For large and complicated data, propensity score methods had more flexibility in practical use than model based methods.
authors.affiliation: Department of Health Statistics and Community Health, School of Public Health, Fudan University, Shanghai 200032, China.
authors.forename: Tao
authors.initials: T
authors.lastname: Wang
authors.forename: Takuhiro
authors.initials: T
authors.lastname: Yamaguchi
authors.forename: Yasuo
authors.initials: Y
authors.lastname: Ohashi
authors.forename: Xue-shan
authors.initials: XS
authors.lastname: Feng
authors.forename: Qing-wu
authors.initials: QW
authors.lastname: Jiang
mesh_terms: 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