Performance Comparison of Various Maximum Likelihood Nonlinear Mixed-Effects Estimation Methods for Dose–Response Models

@article{Plan2012PerformanceCO,
  title={Performance Comparison of Various Maximum Likelihood Nonlinear Mixed-Effects Estimation Methods for Dose–Response Models},
  author={Elodie L. Plan and Alan Maloney and France Mentr{\'e} and Mats O. Karlsson and Julie Bertrand},
  journal={The AAPS Journal},
  year={2012},
  volume={14},
  pages={420-432}
}
Estimation methods for nonlinear mixed-effects modelling have considerably improved over the last decades. Nowadays, several algorithms implemented in different software are used. The present study aimed at comparing their performance for dose–response models. Eight scenarios were considered using a sigmoid E max model, with varying sigmoidicity and residual error models. One hundred simulated datasets for each scenario were generated. One hundred individuals with observations at four doses… CONTINUE READING

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