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Nonlinear mixed-effects models

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  • Yulia Marchenko

    (StataCorp LP)

Abstract

Stata 15 introduced the new estimation command menl for fitting nonlinear mixed-effects models, also known as nonlinear multilevel models and nonlinear hierarchical models. These models can be thought of in two ways: as nonlinear models containing random effects or as linear mixed-effects models in which some or all fixed and random effects enter nonlinearly. The overall error distribution is assumed to be Gaussian. Nonlinear mixed-effects models have been used to model drug absorption in the body, intensity of earthquakes, and growth of plants, to name a few. In my presentation, I will demonstrate how to use the menl command to fit nonlinear mixed-effects models in a variety of applications, including population pharmacokinetics and macroeconomics.

Suggested Citation

  • Yulia Marchenko, 2018. "Nonlinear mixed-effects models," London Stata Conference 2018 13, Stata Users Group.
    • Handle: RePEc:boc:usug18:13
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    File URL: http://repec.org/usug2018/uk18_Marchenko.pdf
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