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8 years ago

Revolutionizing Longitudinal Data Analysis for Improved Health Studies.

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Flexible Modelling of the Covariance Matrix in a Linear Random Effects Model
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The article presents a new way to analyze data about weight gain and height evolution in children. The researchers used a method that combines different types of modeling to better understand how these factors change over time. By applying this approach to real data from an Ethiopian study, they found that it was very helpful in making sense of the information.