Estimating the effect of treatment on binary outcomes using full matching on the propensity score

Mathematics

• Causal Effect 50%
• Comparison Group 50%
• Confounding 100%
• Control Group 50%
• Covariate 100%
• Monte Carlo 50%
• Nearest Neighbor 100%
• Probability Theory 50%
• Propensity Score Method 50%
• Treatment Assignment 50%
• Treatment Group 100%
• Wide Range 50%

Keyphrases

• Association Strength 16%
• Baseline Covariates 16%
• Binary Outcome 100%
• Caliper 50%
• Causal Effect 16%
• Confounding 33%
• Effective Method 16%
• Flexible Method 16%
• Full Matching 100%
• Heart Attack 16%
• Hospitalization 16%
• Inpatient Smoking Cessation 16%
• Inverse Probability of Treatment Weighting 16%
• Monte Carlo Simulation 16%
• Nearest Neighbor Matching 33%
• Non-interventional Study 16%
• Propensity Score 100%
• Propensity Score Methods 16%
• Relative Performance 16%
• Smoking Cessation Counseling 16%
• Treatment Assignment 16%
• Treatment Effect 100%
• Well-balancing 16%

Economics, Econometrics and Finance

• Monte Carlo Simulation 33%
• Propensity Score 100%