The impact of different sources of body mass index assessment on smoking onset: An application of multiple-source information models

dc.creatorPaola Caria, Maria
dc.creatorRosaria Galanti, Maria
dc.creatorBellocco, Rino
dc.creatorHorton, Nicholas J.
dc.date2017-04-01T19:53:42Z
dc.date.accessioned2026-07-09T08:44:02Z
dc.descriptionMultiple-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.
dc.identifierOther:st0234
dc.identifierdoi:10.22004/ag.econ.196677
dc.identifierhttps://ageconsearch.umn.edu/record/196677/files/sjart_st0234.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/196677
dc.identifier.urihttp://hdl.handle.net/123456789/602073
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/196677
dc.titleThe impact of different sources of body mass index assessment on smoking onset: An application of multiple-source information models
dc.typeText

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