Power comparison for propensity score methods

Mathematics

• Power Comparison 100%
• Propensity Score 99%
• Balancing 41%
• Maximum Likelihood 40%
• Generalized Additive Models 37%
• Boosting 36%
• Covariates 30%
• Type I error 20%
• Scenarios 16%
• Model 14%
• Average Treatment Effect 13%
• Causal Effect 11%
• Simulation 11%
• Binary Outcomes 11%
• Simulation Methods 10%
• Logistic Regression 9%
• Treatment Effects 9%
• Mean Squared Error 8%
• Biased 8%
• Range of data 5%

Business & Economics

• Propensity Score 91%
• Maximum Likelihood 45%
• Generalized Additive Models 41%
• Covariates 36%
• Boosting 28%
• Type I Error 23%
• Logistic Regression 12%
• Simulation 12%
• Average Treatment Effect 11%
• Scenarios 11%
• Mean Squared Error 11%
• Simulation Methods 10%
• Treatment Effects 10%
• Propensity 7%