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When estimating heterogeneous treatment effects, missing outcome data can complicate treatment effect estimation, causing certain subgroups of the population to be poorly represented. In this work, we discuss this commonly overlooked problem and cons
Externí odkaz:
http://arxiv.org/abs/2412.19711
