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What is Logistic Regression vs. Propensity Score Analysis about?

This study compares logistic regression and propensity score methods using Monte Carlo simulations to evaluate bias, precision, empirical coverage probability, empirical power, and robustness when the number of events is low relative to confounders. Results indicate that propensity scores yield less biased and more precise estimates than logistic regression when there are seven or fewer events per confounder, while logistic regression is preferable with eight or more events per confounder. The findings sugg

Author

Cadastro JDJ

Language

EN