WHY ARE PHARMACOKINETIC DATA SUMMARIZED BY ARITHMETIC MEANS?
作者:
StevenA. Julious,
CamilleA. M. Debarnot,
期刊:
Journal of Biopharmaceutical Statistics
(Taylor Available online 2000)
卷期:
Volume 10,
issue 1
页码: 55-71
ISSN:1054-3406
年代: 2000
DOI:10.1081/BIP-100101013
出版商: Taylor & Francis Group
关键词: Arithmetic means;Geometric means;Lognormal;Bioequivalence pharmacokinetic data;Normal
数据来源: Taylor
摘要:
The main aim of many studies in clinical pharmacology is to describe the pharmacokinetic activity of a given compound. This pharmacokinetic activity for an individual is then evaluated through a series of summary parameters, such as area under the concentration-time curve (AUC), maximum concentration (Cmax) and the rate constant λ, and it is evaluated across individuals by descriptive statistics of these parameters, such as the mean and range and a measure of spread such as the standard deviation. How the pharmacokinetic parameters are derived is described here. It is demonstrated that the assumption of an exponential half-life is often fundamental to the derivation of pharmacokinetic parameters. Given this fact, one would think it logical that data are analyzed with the appropriate statistics on the log-scale and not by summary statistics, such as arithmetic means, on the original scale. Why arithmetic means are used to describe the data is explored and the special nature of the log-transformation highlighted.
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