曲线拟合在医学统计学、流行病学及药物代谢动力学等医学科学研究和其他科学领域中有着广泛的用途。曲线拟合的方法以线性变换法最为常用。但选择曲线模型及进行变量变换需要一定经验,而且计算麻烦,能拟合的曲线类型数量有限。使用 CURVEFIT 软件对医学观测数据进行曲线拟合分析,可以克服上述缺点,有利于曲线拟合的广泛应用。该软件使用线性 Curve fitting has a wide range of uses in medical science, epidemiology, pharmacokinetics, and other medical scientific research and other scientific fields. The curve fitting method is most commonly used with the linear transformation method. However, it takes some experience to select a curve model and perform variable transformation, and the calculation is troublesome. The number of curve types that can be fitted is limited. Curve fitting analysis of medical observation data using CURVEFIT software can overcome the above shortcomings and is beneficial to the wide application of curve fitting. The software uses linear