Abstract
Designing a dosage regimen for a pharmacokinetic system involves: 1) defining a patient-dependent a priori pharmacokinetic model, which includes structural, parameter, and observation uncertainties, and 2) defining an appropriate performance index to evaluate achievement of a clinically chosen therapeutic goal. The control problem then is to choose the dosage that optimizes the expected value of the performance index relative to the uncertainties present. The problem fits within the framework of “stochastic” control theory, i.e., control in the presence of uncertainty. However, little attention has been paid to this approach in clinical contexts. Most pharmacokinetic investigators have simply attacked the problem first by estimating values of the unknown parameters and then by controlling the system as if those parameter estimates were in fact the true values.
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© 1986 Springer-Verlag New York Inc.
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Schumitzky, A. (1986). Stochastic Control of Pharmacokinetic Systems. In: Maronde, R.F. (eds) Topics in Clinical Pharmacology and Therapeutics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4864-4_2
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DOI: https://doi.org/10.1007/978-1-4612-4864-4_2
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