Variable Selection For Propensity Score Models
Variable selection for propensity score models is a critical step in observational research and causal inference studies. Propensity score models aim to balance covariates between treatment and control groups, reducing bias when estimating treatment effects. However, the effectiveness of these models heavily depends on the careful selection of variables included in the propensity score estimation. … Read more
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