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Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
In this paper, we propose a generic semiparametric inference framework for doubly robust estimation with multiple derived outcomes, which also encompasses the usual setting of multiple outcomes when the response of each unit is available.
Continuous Treatment Effects with Surrogate Outcomes
Incorporating surrogates, which are fully observed post-treatment variables related to the primary outcome, can improve estimation in this case.
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