Summary
The analysis of observational data using a mixed effect model is more complex than the traditional approach to pharmacokinetic parameter estimation. Structural and statistical models must be explicitly formulated and implemented within the computer program NONMEM. This presents some unique challenges in the selection and evaluation of alternative models for the evaluation of interindividual and residual variability.
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References
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Grasela, T.H., Sheiner, L.B. Pharmacostatistical modeling for observational data. Journal of Pharmacokinetics and Biopharmaceutics 19 (Suppl 3), S25–S36 (1991). https://doi.org/10.1007/BF01371006
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DOI: https://doi.org/10.1007/BF01371006