Propensity score methods for creating covariate balance in observational studies

[1]  L. Køber,et al.  Proton pump inhibitor use and risk of adverse cardiovascular events in aspirin treated patients with first time myocardial infarction: nationwide propensity score matched study , 2011, BMJ : British Medical Journal.

[2]  D. Adams,et al.  A propensity score-adjusted retrospective comparison of early and mid-term results of mitral valve repair versus replacement in octogenarians. , 2011, European heart journal.

[3]  D. Rubin.  For objective causal inference, design trumps analysis , 2008, 0811.1640.

[4]  A. Hoeft,et al.  Mortality associated with aprotinin during 5 years following coronary artery bypass graft surgery. , 2007, JAMA.

[5]  Ralph B D'Agostino,et al.  Estimating treatment effects using observational data. , 2007, JAMA.

[6]  D. Rubin.  The design versus the analysis of observational studies for causal effects: parallels with the design of randomized trials , 2007, Statistics in medicine.

[7]  M. Gheorghiade,et al.  Heart failure, chronic diuretic use, and increase in mortality and hospitalization: an observational study using propensity score methods. , 2006, European heart journal.

[8]  Keyvan Karkouti,et al.  A propensity score case‐control comparison of aprotinin and tranexamic acid in high‐transfusion‐risk cardiac surgery , 2006, Transfusion.

[9]  I. C. Tudor,et al.  The risk associated with aprotinin in cardiac surgery. , 2006, The New England journal of medicine.

[10]  D. Rubin.  Matched Sampling for Causal Effects , 2006 .

[11]  R. D'Agostino.  Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. , 2005, Statistics in medicine.

[12]  R. D'Agostino.  Adjustment Methods: Propensity Score Methods for Bias Reduction in the Comparison of a Treatment to a Non‐Randomized Control Group , 2005 .

[13]  P. Holland.  Statistics and Causal Inference , 1985 .

[14]  D. Rubin,et al.  The Bias Due to Incomplete Matching , 1985 .

[15]  D. Rubin,et al.  Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity Score , 1985 .

[16]  D. Rubin,et al.  Reducing Bias in Observational Studies Using Subclassification on the Propensity Score , 1984 .

[17]  D. Rubin,et al.  The central role of the propensity score in observational studies for causal effects , 1983 .

[18]  D. Rubin,et al.  Using Multivariate Matched Sampling and Regression Adjustment to Control Bias in Observational Studies , 1978 .

[19]  D. Rubin.  Estimating causal effects of treatments in randomized and nonrandomized studies. , 1974 .

[20]  W. G. Cochran.  The effectiveness of adjustment by subclassification in removing bias in observational studies. , 1968, Biometrics.