The predictive capability of a pharmacokinetic model lies in the proper selection and development of mathematical functions called parameters that govern a pharmacokinetic process.

**PHARMACOKINETIC PARAMETERS**

The predictive capability of a pharmacokinetic model
lies in the proper selection and development of *mathematical functions called* ** parameters** that govern a
pharmacokinetic process. In practice, pharmacokinetic parameters are determined
experimentally from a

** 1. Independent variables **which are not affected by any other parameter, for example

** 2. Dependent variables**, which change as the independent variables change, for

Certain points, which are important to note
regarding application of parameters in pharmacokinetic studies, include –

^{·
}The number of parameters needed
to describe the pharmacokinetic model depends upon the complexity of the
pharmacokinetic process and on the route of drug administration.^{}

^{·
}More the number of parameters
more are the difficulties in accurate estimation of these parameters.^{}

^{·
}For the pharmacokinetic
parameters to be valid, the number of data points should always exceed the
number of parameters in the pharmacokinetic model.^{}

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