Enhanced Method for Diagnosing Pharmacometric Models: Random Sampling from Conditional Distributions

@article{Lavielle2016EnhancedMF,
  title={Enhanced Method for Diagnosing Pharmacometric Models: Random Sampling from Conditional Distributions},
  author={Marc Lavielle and Benjamin Ribba},
  journal={Pharmaceutical Research},
  year={2016},
  volume={33},
  pages={2979-2988}
}
For nonlinear mixed-effects pharmacometric models, diagnostic approaches often rely on individual parameters, also called empirical Bayes estimates (EBEs), estimated through maximizing conditional distributions. When individual data are sparse, the distribution of EBEs can “shrink” towards the same population value, and as a direct consequence, resulting diagnostics can be misleading. Instead of maximizing each individual conditional distribution of individual parameters, we propose to randomly… CONTINUE READING

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