A mixed-effects multinomial logistic regression model.

@article{Hedeker2003AMM,
  title={A mixed-effects multinomial logistic regression model.},
  author={Donald Hedeker},
  journal={Statistics in medicine},
  year={2003},
  volume={22 9},
  pages={
          1433-46
        }
}
  • D. Hedeker
  • Published 15 May 2003
  • Psychology
  • Statistics in medicine
A mixed-effects multinomial logistic regression model is described for analysis of clustered or longitudinal nominal or ordinal response data. The model is parameterized to allow flexibility in the choice of contrasts used to represent comparisons across the response categories. Estimation is achieved using a maximum marginal likelihood (MML) solution that uses quadrature to numerically integrate over the distribution of random effects. An analysis of a psychiatric data set, in which homeless… 
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