Pfeffer M
Department of Metabolism and Pharmacokinetics, Bristol-Myers Pharmaceutical Research and Development Division, Syracuse, New York 13221.
Eur J Drug Metab Pharmacokinet. 1988 Jul-Sep;13(3):155-9. doi: 10.1007/BF03189934.
The gamma variate, C = Ataexp(-bt), was tested, as a fitting function, with various real and error-free simulated intravascular and extravascular pharmacokinetic data sets and the results compared with polyexponential fits. For extravascular data, the gamma variate is only suitable to globally fit data which might otherwise be described biexponentially. For intravascular data, the gamma variate could only fit a limited range of the possible concentration-time profiles. Gamma variate fitting algorithms must minimize relative deviations; fits using unweighted sums of squared deviations gave excellent results at higher concentration values but consistently underestimated terminal descending portions of the data.
对伽马变量C = Ataexp(-bt)作为拟合函数进行了测试,使用各种真实且无误差的模拟血管内和血管外药代动力学数据集,并将结果与多指数拟合进行比较。对于血管外数据,伽马变量仅适用于对原本可能用双指数描述的数据进行整体拟合。对于血管内数据,伽马变量只能拟合有限范围的可能浓度-时间曲线。伽马变量拟合算法必须使相对偏差最小化;使用未加权平方偏差和进行的拟合在较高浓度值时给出了出色的结果,但始终低估了数据的终末下降部分。