A placebo-anchored cross-fitted doubly robust estimator for heterogeneous treatment effects in meta-analysis under covariate shift that improves accuracy at small target sample sizes.
Towards optimal doubly robust estimation of heterogeneous causal effects
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Transfer Learning for Meta-analysis Under Covariate Shift
A placebo-anchored cross-fitted doubly robust estimator for heterogeneous treatment effects in meta-analysis under covariate shift that improves accuracy at small target sample sizes.