Some Methods of Propensity‐Score Matching had Superior Performance to Others: Results of an Empirical Investigation and Monte Carlo simulations - Austin, Peter C. (Biometrical journal, 2009)
Keywords: Acute myocardial infarction; Algorithms; Applications; Balance; Bias; Biology, psychology, social sciences; Biometry - methods; Canada - epidemiology; Confounding Factors (Epidemiology); Data Interpretation, Statistical; Distribution theory; Exact sciences and technology; General topics; Humans; Hydroxymethylglutaryl-CoA Reductase Inhibitors - therapeutic use; Incidence; Matching; Mathematics; Monte Carlo Method; Monte Carlo simulations; Myocardial Infarction - drug therapy; Myocardial Infarction - mortality; Numerical analysis; Numerical analysis. Scientific computation; Numerical methods in probability and statistics; Observational studies; Prescriptions - statistics & numerical data; Probability and statistics; Propensity score; Propensity‐score matching; Proportional Hazards Models; Sciences and techniques of general use; Statistics; Survival Analysis; Survival Rate; Biometrics; Rank statistic; Statistical distribution; Bias; Large sample; Stochastic method; Economic sciences; Parametric method; Matching; Propensity score; Standard deviation; Approximation theory; Observational studies; Propensity-score matching; Monte Carlo method; Matched sample; Treatment efficiency; Mortality; Life science; Statistical estimation; Relative risk; Statistical method; Selection problem; Numerical analysis; Monte Carlo simulations; Simulation; Treatment effect; Econometrics; Acute myocardial infarction; Balance; Biased estimation