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Overview: A variety of approaches have been proposed for doing statistical analyses with missing data, and from these a small number have become established in usage. Perhaps the most widely used is listwise deletion, also referred to as complete case analysis, in which any observation with a missing value for any of its variables is deleted from the analysis. This research paper provides estimates of such bias in the case of a sample mean in a real-life setting with extensive data, and also considers the alternative of retaining the unrounded imputed values for analyses instead of rounding them.
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Corporations are modern tribes, with their own members, culture, and knowledge. Capturing, saving, and sharing the collective knowledge of the tribe can lead to a more...
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