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Nonlinear mixed-effects model
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<p>Nonlinear mixed-effects models constitute a class of <a href="/facts/Statistical_model/jKkT5ftm">statistical models</a> generalizing <a href="/facts/Mixed_model/PovxPrAy">linear mixed-effects models</a>. Like linear mixed-effects models, they are particularly useful in settings where there are multiple measurements within the same <a href="/facts/Statistical_unit/oIW2uEBb">statistical units</a> or when there are dependencies between measurements on related statistical units. Nonlinear mixed-effects models are applied in many fields including <a href="/facts/Medicine/2fnp90Je">medicine</a>, <a href="/facts/Public_health/4563Kre9">public health</a>, <a href="/facts/Pharmacology/4Rx8s7Ie">pharmacology</a>, and <a href="/facts/Ecology/YE8upuJU">ecology</a>. </p>