| 李佳萌.多水平模型在吸烟行为研究中的应用[J].Chinese journal of Epidemiology,2007,28(4):398-401 |
| 多水平模型在吸烟行为研究中的应用 |
| An applied multilevel model used in the study on behavior of smoking |
| Received:November 01, 2006 |
| DOI： |
| KeyWord: 吸烟 多水平模型 |
| English Key Word: smoking Multilevel model |
| FundProject: |
|
| Hits: 2745 |
| Download times: 1159 |
| Abstract: |
| 目的<\b> 介绍多水平模型及其应用领域.方法<\b> 以中国/WHO控烟能力建设合作项目--学校控烟子项目中天津地区中学的学生基线调查资料为例,应用多水平模型分析并与传统logistic回归分析的结果<\b>进行比较.结果<\b> 经检验,数据中存在层次结构.利用多水平模型分析显示,中学生吸烟的影响因素为性别、年龄、态度、环境及班级水平下的宣传教育.此外,在未引入班级水平下宣传教育这一变量时,利用多水平模型分析得到变量的标准误均小于相应的传统logistic回归分析的结果<\b>.结论<\b> 多水平模型适于分析具有层次结构的数据资料,在分层或整群的流行病学或社区调查中具有较高的应用价值. |
| English Abstract: |
| Objective<\b> To introduce the nature and its application of a multilevel mlodel.Methods<\b> Data was analyzed from a baseline survey of smoking behavior among middle schoOl students sponsored by a WHO smoking controll project.Multilevel analysis was used on available data and to compare the results from logistic regression.Results<\b> The outcomes of null multilevel model appmved that there was hierarchical structure on data.The influencing factors of middIe school students smoking appeared to be gender，age，attitude，environment and public education at sch∞ls.When the variable of public education by classes was not included，the standard errors by multilevel analysis became smaller than the correSponding standard errors through logistic regression method.Conclusion<\b> Multilevel model seemed a good method for analyzing data with hierarchicalor cluster structure，it could be applied in stratified or cluster sampling of epidemiological or community-based investigation. |
|
View Fulltext
Html FullText
View/Add Comment Download reader |
| Close |