Linear mixed models (LMMs) serve as a versatile statistical framework, combining fixed effects that capture the overall trends with random effects that account for variability across subjects, ...

A version of the nonlinear mixed-effects model is presented that allows random effects only on the linear coefficients. Nonlinear parameters are not stochastic. In nonlinear regression, this kind of ...

This is a preview. Log in through your library . Abstract Applied sciences, including longitudinal and clustered studies in biomedicine, require analyses of ultrahigh-dimensional linear mixed-effects ...