Conditionally Linear Mixed-Effects Models With Latent Variable Covariates

@inproceedings{Blozis2002ConditionallyLM,
title={Conditionally Linear Mixed-Effects Models With Latent Variable Covariates},
author={Shelley A Blozis},
year={2002}
}

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 model has been called conditionally linear. As a mixed-effects model, this structure is more flexible than the popular linear mixed-effects model, while being nearly as straightforward to estimate. In addition to the structure for the repeated measures, a latent variable model (Browne, 1993) is… CONTINUE READING