Estimating the Complier Average Causal Effect with Non-Ignorable Missing Outcomes Using Likelihood Analysis
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DOI: 10.3390/math12091300
Abstract: Missing data problems arise in randomized trials, which complicates the inference of causal effects if the missing mechanism is non-ignorable. We tackle the challenge of identifying and estimating the complier average causal effect parameters under… read more here.
Keywords: non ignorable; estimating complier; average causal; complier average ... See more keywords