文章基本信息

标题：The impact of different sources of body mass index assessment on smoking onset: An application of multiple-source information models
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作者：Paola Caria, Maria ; Rosaria Galanti, Maria ; Bellocco, Rino 等
期刊名称：Journal of Agribusiness
印刷版ISSN：0738-8950
出版年度：2011
期号：Suppl
页码：386-402
出版社：Journal of Agribusiness
摘要：Multiple-source data are often collected to provide better information of some underlying construct that is difficult to measure or likely to be missing. In this article, we describe regression-based methods for analyzing multiple-source data in Stata. We use data from the BROMS Cohort Study, a cohort of Swedish adolescents who collected data on body mass index that was self-reported and that was measured by nurses. We draw together into a single frame of reference both source reports and relate these to smoking onset. This unified method has two advantages over traditional approaches: 1) the relative predictiveness of each source can be assessed and 2) all subjects contribute to the analysis. The methods are applicable to other areas of epidemiology where multiple-source reports are used.
关键词：multiple informants;multiple-source predictors;regression analysis;generalized estimating equations;missing data