Statistical model and inference for pharmacokinetic data

• Published in: Journal of statistical computation and simulation Vol. 84; no. 12; pp. 2607 - 2618
• Main Authors: Chen, Yuh-Ing, Lin, Wen-Ming
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 02.12.2014; Taylor & Francis Ltd
• Subjects: Computer simulation; Confidence intervals; Construction; drug concentration-time profile; Drugs; Inference; Mathematical models; multivariate generalized gamma distribution; one-compartment pharmacokinetic model; Pharmacology; Probability distribution; Probability distribution functions; Simulation; Statistical analysis; Statistical methods
• ISSN: 0094-9655; 1563-5163
• DOI: 10.1080/00949655.2013.798734

In this paper, we consider a statistical model for the drug concentration-time profiles that are obtained in a pharmacokinetic (PK) study when the drug is orally administered. In the proposed statistical PK model, the subject-specific concentration-time curve is described by the one-compartment PK model with first-order absorption and elimination. Moreover, a multivariate generalized gamma distribution is developed for the joint distribution of the drug concentrations that are repeatedly measured from the same subject. We then construct confidence intervals for the subject-exposure parameters which provide a further insight into the individual exposure of the drug under study. The proposed statistical PK model and the associated inference are then applied to illustrate a real data set. A simulation study is also implemented to investigate the performances of the coverage probability and expected length of the proposed confidence intervals. Finally, we give conclusions and discussions on the application of the proposed procedures.