Article

Missing Data in OHCA Registries: How Multiple Imputation Methods Affect Research Conclusions—Paper II

2025-12-17

Abstract excerpt

<h4>Background: </h4> /Objectives: Missing data in clinical observational studies, such as out-of-hospital cardiac arrest (OHCA) registries, can compromise statistical validity. Single imputation methods are simple alternatives to complete-case analysis (CCA) but do not account for imputation uncertainty. Multiple imputation (MI) is the standard for handling missing at random (MAR) data, yet its implementation rem...

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Literature Corpus work: e4e2d8ca-a5e4-5565-b4a3-ebb1e2a0421e
DOI: 10.20944/preprints202512.1608.v1

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