Recoverability of causal effects under presence of missing data: a longitudinal case study
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Missing data in multiple variables is a common issue. We investigate the applicability of the framework of graphical models for handling missing data to a complex longitudinal pharmacological study of children with HIV treated with an efavirenz-based regimen a... ...
