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There are numerous classical, straightforward approaches for managing missing data in longitudinal information analysis. The only and essentially the most direct strategy is the elimination of all cases with missing values. Suppose that We've got a sample of 2000 cases, and amid them, 350 subjects have missing values on any with the nprogress of th

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