Developing Tools to Evaluate Non-linear Mixed Effect Models: 20 Years on the npde Adventure
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Developing Tools to Evaluate Non-linear Mixed Effect Models: 20 Years on the npde Adventure |
This article revisits 20 years of our work in developing evaluation tools adapted to non-linear mixed effect models. These hierarchical models involve a large number of assumptions concerning the structural evolution of the outcomes, the link between different outcomes, the variabilities in the parameters and model evaluation aims at assessing these various components, both to help guide the model building and to communicate on model adequacy for a given purpose. |
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Ho-Leung Fung Ph.D., FAAPS
Editor-in-Chief
University at Buffalo
Buffalo NY
[email protected]Disclaimer: Opinions expressed are solely my own and do not express the views or opinions of my employer.
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