Abstract
We discuss different types of approximations of the individual Fisher information matrix used in population optimal design software tools and describe a Monte-Carlo option in the PkStaMp library which constructs optimal sampling schemes for population pharmacokinetic (PK) and pharmacodynamic (PD) studies.
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Acknowledgements
The authors would like to thank two anonymous referees for valuable comments on an earlier version of the paper which helped them to improve the presentation of the results.
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Leonov, S., Aliev, A. (2013). Approximation of the Fisher Information Matrix for Nonlinear Mixed Effects Models in Population PK/PD Studies. In: Ucinski, D., Atkinson, A., Patan, M. (eds) mODa 10 – Advances in Model-Oriented Design and Analysis. Contributions to Statistics. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00218-7_17
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DOI: https://doi.org/10.1007/978-3-319-00218-7_17
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