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一种多元线性回归模型在医学中的应用

multiple linear regression model in the application of medicine

中文摘要英文摘要

本文是关于通过化验人体内各种元素含量来判别肾炎病人与健康人的方法研究的问题。首先把肾炎患者和健康人各个元素含量的数据信息用图形的直观方式加以表达,并讨论了寻找主要影响因素的研究方向,在充分分析题目问题的基础上建立了全回归判别模型,并且我们选用线形回归模型时,自变量与因变量的线形关系只是作为猜测进行的假设。而各个元素含量与是否患病之间是否真的存在近似线形关系,还需要对假设进行检验通过验证说明采用多元线性回归的可行性。

his paper is on the adoption of testing various elements in the human body to determine nephritis patients and healthy way on the issue. First of all the nephritis patients and healthy people in various elements in the data with the intuitive graphical way to express and discuss the main factors to find the research direction, with full analysis of the topic established on the basis of the reunification of the whole model of discrimination, and we Optional linear regression model, variables and the dependent variable linear relationship is only speculation as to the assumptions. The various elements in sick and whether it really exists between the approximate linear relationship, it is also necessary to test assumptions used by verifying that the possibility of multiple linear regression.

陈玲熙、徐云龙、李剑英

医学研究方法基础医学

多元线性回归 假设检验 置信区间 肾炎判别模型

Multiple linear regression Hypothesis testing,Confidence interval,Nephritis discrimination model

陈玲熙,徐云龙,李剑英.一种多元线性回归模型在医学中的应用[EB/OL].(2008-05-05)[2025-08-03].http://www.paper.edu.cn/releasepaper/content/200805-71.点此复制

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