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
5 Citations
30 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-10 of 30 references

Multilevel analysis of educational data

  • R. D. Bock
  • 1989
Highly Influential
5 Excerpts

The inspection time not studied: Processing speed ability unrelated

  • S. R. Chaiken
  • 1994
Highly Influential
4 Excerpts

Linear and nonlinear models for the analysis

  • Vonesh, E E., V. M. Chinchilli
  • 1997

Linear and nonlinear models for the analysis of repeated measurements

  • V. M. Chinchilli
  • 1997
1 Excerpt

Standard errors for EM estimation

  • M. Jamshidian, R. I. Jennrich
  • In E
  • 1997
1 Excerpt

Similar Papers

Loading similar papers…