Joint Mixed-Effects Models for Longitudinal Data Analysis: An Application for the Metabolic Syndrome
Mixed-effects models are commonly used to model longitudinal data as they can appropriately account for within and between subject sources of variability. Univariate mixed effect modeling strategies are well developed for a single outcome (response) variable that may be continuous (e.g. Gaussian) or...
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| Format: | Others |
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VCU Scholars Compass
2009
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| Online Access: | http://scholarscompass.vcu.edu/etd/1943 http://scholarscompass.vcu.edu/cgi/viewcontent.cgi?article=2942&context=etd |