Analyzing Group by Time Effects in Longitudinal Two-Group Randomized Trial Designs With Missing Data
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Abstract
We investigated bias, sampling variability, Type I error and power of nine approaches for testing the group by time interaction in a repeated measures design under three types of missing data mechanisms. One procedure due to Overall, Ahn, Shivakumar, and Kalburgi (1999) performed reasonably well over a range of conditions.
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