Jaki, Thomas and Wolfsegger, Martin J. (2012) Non-compartmental estimation of pharmacokinetic parameters for flexible sampling designs. Statistics in Medicine, 31 (11-12). pp. 1059-1073. ISSN 1097-0258Full text not available from this repository.
Pharmacokinetic (PK) studies aim to understand the kinetics of absorption, distribution, metabolism and elimination of a drug. Typically, such studies involve measuring the concentration of the drug in the plasma or blood at several time points after drug administration. In studying the PK behaviour, either the non-compartmental approach or alternatively a modelling approach can be utilized. Traditionally, the non-compartmental approach makes minimal assumptions about the data-generating process but requires the data to be collected in a very structured way. Conversely, the modelling approach depends heavily on assumptions about the data-generating process but does not impose a specific data structure. In this paper, we will discuss non-compartmental methods for estimating the area under the concentration versus time curve and other common PK parameters that use minimal assumptions about the data structure making it applicable to a wide range of PK studies. We will evaluate the methods using simulation and give an illustrative example.
|Journal or Publication Title:||Statistics in Medicine|
|Uncontrolled Keywords:||area under the concentration time curve ; AUC ; non-compartmental ; PK parameters ; sparse sampling|
|Subjects:||Q Science > QA Mathematics|
|Departments:||Faculty of Science and Technology > Mathematics and Statistics|
|Deposited On:||28 May 2012 11:41|
|Last Modified:||31 Aug 2016 01:12|
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