A flexible semiparametric approach for robust causal inference with invalid instruments and unmeasured confounder
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Inferring causal effects with unmeasured confounder is a main challenge in causal inference. Many researchers impose parametric assumptions on the distribution of unmeasured confounder. However, due to the unobservable nature of the unmeasured confounder, it i... ...
