ACM Transactions on Intelligent Systems and Technology (TIST) - Special Issue on Causal Discovery and Inference: Volume 7 Issue 2, January 2016
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Noncompliance and missing data often occur in randomized trials, which complicate the inference of causal effects. When both noncompliance and missing data are present, previous papers proposed moment and maximum likelihood estimators for binary and normally distributed continuous outcomes under the latent ignorable missing data mechanism. However, the latent ignorable ...
missing not at random, outcome-dependent missing, Causal inference, instrumental variable, noncompliance, principal stratification