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DACr - An Algorithm for Treating Diverse Missing Values in Large Data, with Application to Heart Transplantation

2026-01-23 health informatics Title + abstract only
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The increasing use of Real-World Data (RWD) in clinical research is critical for evidence-based decision making but presents challenges to data analytics. Unlike in Randomized Controlled Trials (RCTs), missingness in RWD occurs often and can include complex patterns which may or may not be Missing at Random (MAR). Informative absence (Missing Not at Random, or MNAR) occurs when the absence of data itself is a clinical signal. Applications of ad-hoc methods, or even popular "universal" methods, c...

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