以残数法计算药代参数时,模型的选择可因主观影响,误差大,结果不恒定。我们在APPLEⅡ型微电脑上,采用非线性最小二乘法编程,大大提高了参数估计的精度,同时可对房室模型选择提供客观依据,并对参数作出统计学评价。程序采用菜单式结构,包括血管内、外各种模型,具有数据存取和较强的作图功能。 To calculate the pharmacokinetic parameters by the residual method, the choice of model may be due to subjective influence, the error is large, the result is not constant. We APPLEⅡ microcomputer, using nonlinear least squares programming, greatly improving the accuracy of parameter estimation, while providing an objective basis for the selection of atrioventricular compartment model, and to make a statistical evaluation of the parameters. Program uses a menu-based structure, including various types of blood vessels, the outside, with data access and strong mapping capabilities.