用Logistic回归模型预测糖尿病人病情程度毕业论文.doc

文档介绍：用Logistic回归模型预测糖尿病人病情程度
目录
摘要……………………………………………………………………………………………Ⅰ
关键词……………………………………………………………………………………………Ⅰ
Abstract…………………………………………………………………………………………Ⅱ
Keywords…………………………………………………………………………………………Ⅱ
前言…………………………………………………………………………………………………1
……………………………………………………………………………………………1
研究意义……………………………………………………………………………………1
研究背景……………………………………………………………………………………2
………………………………………………………………………2
…………………………………………………………………3
……………………………………………………………………4
Logistic回归模型的参数估计方法………………………………………………………5
…………………………………………7
……………………………………………………………………………………7
……………………………………………………………………………………8
……………………………………………………………………………10
…………………………………………………………………………………………12
参考文献………………………………………………………………………………………13
附表1 ……………………………………………………………………………………………14
附表2 ……………………………………………………………………………………………15
附表3 ……………………………………………………………………………………………17
附表4……………………………………………………………………………………………20
致谢……………………………………………………………………………………………22
用Logistic回归模型预测糖尿病人病情程度
摘要:本文首先总结近年来有关Logistic回归模型的研究概况。然后在Logistic回归模型的基础上,重点介绍了二分类和多分类变量Logistic回归模型。并使用最大似然估计法对模型中的参数进行估计,然后根据拟合优度检验法对模型进行检验。最后利用SPSS统计软件对糖尿病人的病情程度建立模型,进行系统的分析并将预测结果与实际结果进行比对。
关键词:Logistic回归模型;拟合优度;最大似然估计;回归系数
Logistic regression model was used to predict the severity of diabetic patients
Abstract:This topic summarizes some surveys researched in recent years about Logistic Regression Model. Then on the basis of Logistic Regression Model, introduce two categories and multiple categories variable of Logistic Regression Model, .Firstly, use maximum likelihood to estimste parameters of the model, and secondly, use the goodness of fit test for the model, thirdly, use SPSS statistical software to build model for the severity of patients with diabetes mellitus, carry out the system analysis and contrast the forecast and real result.
Keywords:Logistic regression model; goodness of fit ;maximum likelihood estimate; regression coefficients.
前言