非金属
解算器
Microsoft excel
计算机科学
软件
统计
估计理论
舱室(船)
药代动力学
应用数学
数学
算法
生物信息学
程序设计语言
海洋学
生物
地质学
操作系统
作者
C. Dansirikul,Malcolm Choi,Stephen B. Duffull
标识
DOI:10.1016/j.compbiomed.2004.02.008
摘要
This study was conducted to develop a method, termed 'back analysis (BA)', for converting non-compartmental variables to compartment model dependent pharmacokinetic parameters for both one- and two-compartment models. A Microsoft Excel® spreadsheet was implemented with the use of Solver® and visual basic functions. The performance of the BA method in estimating pharmacokinetic parameter values was evaluated by comparing the parameter values obtained to a standard modelling software program, NONMEM, using simulated data. The results show that the BA method was reasonably precise and provided low bias in estimating fixed and random effect parameters for both one- and two-compartment models. The pharmacokinetic parameters estimated from the BA method were similar to those of NONMEM estimation.
科研通智能强力驱动
Strongly Powered by AbleSci AI