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Using Multiple Imputation to Avoid Bias From Missing Data in Critical Care Research

"Using Multiple Imputation to Avoid Bias From Missing Data in Critical Care Research" was published in the June/July 2018 issue of Critical Connections.

Missing data is a common, yet often overlooked, source of bias in critical care studies. 1,2 The key concern with missing data is informative missingness, meaning that data are missing for reasons that are related to the study outcome. 2..

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Categories: Research,
Content Type: Articles,