Sliding windows and weighted regression, or SWWR, are used to solve a common type of data harmonization problem in longitudinal studies: data from different sources (e.g., different studies or different time points within the same study) share the same x-axis but have different y-axes, and the goal is to equate y-axis distributions at each point on the x-axis.

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2020-11-24
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