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In causal inference, covariate balancing propensity score refers to a propensity score estimated so that it both predicts treatment and directly balances covariates between groups, reducing sensitivity to model misspecification. This meaning comes from Imai (2013) in Journal of the Royal Statistical Society Series B: Statistical Methodology.[1]
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