非配对设计多值名义资料多水平多重Logistic回归模型

Multilevel multiple Logistic regression analysis with the multi-value nominal data collected from the unpaired design

本文目的是介绍非配对设计多值名义资料多水平多重logistic回归模型的构建与求解方法。首先介绍了有关的基本概念,涉及“多值名义结果变量”“分层或多水平数据结构”和“扩展的多重logistic回归模型”;其次,呈现了一个具有二水平结构的横断面调查资料,该资料涉及多个影响因素和一个多值有序的结果变量(在本文中,将其视为多值名义结果变量);最后,借助SAS中的两个过程(即GLIMMIX和NLMIXED)对给定的资料进行统计分析,即构建和求解“非配对设计多值名义资料多水平多重logistic回归模型”,并对相关结果进行比较和解释。

The purpose of the paper was to introduce the construction and solution of multilevel multiple logistic regression analysis with the multi-value nominal data collected from the unpaired design.Firstly,the basic concepts related to“multi-value nominal outcome variables”“stratified or multilevel data structures”and“generalized multiple logistic regression models”were introduced.Secondly,a cross-sectional survey data with two-level was presented.The data contained many independent variables and a multi-value ordinal outcome variable(in this paper,it was treated as a multi-value nominal outcome variable).Finally,statistical analysis of data was performed by two procedures(GLIMMIX and NLMIXED)in the SAS software.Construction and solution of multilevel multiple logistic regression analysis with the multi-value nominal data collected from the unpaired design was preformed and the related output results were compared and explained.