Incorporating correlation in interindividual variability for the optimal design of multiresponse pharmacokinetic experiments.

@article{Ogungbenro2008IncorporatingCI,
  title={Incorporating correlation in interindividual variability for the optimal design of multiresponse pharmacokinetic experiments.},
  author={Kayode Ogungbenro and Gordon Graham and Ivelina Gueorguieva and Leon Aarons},
  journal={Journal of biopharmaceutical statistics},
  year={2008},
  volume={18 2},
  pages={342-58}
}
This paper presents a method for optimal design of multiresponse population pharmacokinetic experiments taking into account correlations between interindividual variances. Expressions for the population Fisher information matrix have been defined for uniresponse and multiresponse pharmacokinetic experiments. A major assumption often made is that the variance-covariance matrix of the interindividual variance components has only diagonal elements so that whenever intersubject covariance elements… CONTINUE READING