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On the Use of PROC MIXED to Estimate Correlation in the Presence of Repeated Measures

Date: January 2008
Type: White Paper
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Overview: The need to assess correlation in settings where multiple measurements are available on each of the variables of interest arises often in biostatistical science. Although several ad hoc approaches can be used, they can easily lead to invalid conclusions and to a difficult choice of an appropriate measure of the correlation. While several formal approaches have been proposed, these are associated with a variety of drawbacks. This paper demonstrates how to obtain an estimate of the correlation between two variables when multiple measurements are available on each of the variables of interest.


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