优化的非线性回归模型及其在病因学研究中的应用

Optimized Non-linear Regression Model and Application in Pathogeny Studies

本文提出用最优化的方法找出预报因子的最优非线性表达式,再用这些非线性表达式做逐步回归,建立非线性回归方程的方法。所得方程的拟合效果和预报效果均优于一般线性方程。将其应用于乳腺癌发病危险因素的分析和个体发病危险度的估计,取得了较好的结果。

The paper propose a method of establish nonlinear regression model. The first, optimizing the non-linear formular of independent variables, and then establishing a non-linear regression model by stepwise regression. The fit and forecast effects of the model are better than the linear model. It is applied in the analysis of risk factors of breast cancer and the estimation for personal risk. The result is satisfactory.