Evaluation of a Bayesian Approach to Estimating Nonlinear Mixed-Effects Mixture Models

@inproceedings{Serang2015EvaluationOA,
  title={Evaluation of a Bayesian Approach to Estimating Nonlinear Mixed-Effects Mixture Models},
  author={Sarfaraz Serang and Zhiyong Zhang and Jonathan L. Helm and Joel S. Steele and Kevin J Grimm},
  year={2015}
}
The growth mixture model has become increasingly popular, given the willingness to acknowledge developmental heterogeneity in populations. Typically, linear growth mixture models, based on polynomials or piecewise functions, are used in substantive applications and evaluated quantitatively through simulation. Growth mixture models that follow inherently nonlinear trajectories, referred to as nonlinear mixed-effects mixture models, have received comparatively little attention—likely due to… CONTINUE READING

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