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

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.


Issue Date:
2011
Publication Type:
Journal Article
DOI and Other Identifiers:
st0234 (Other)
PURL Identifier:
http://purl.umn.edu/196677
Published in:
Stata Journal, Volume 11, Number 3
Page range:
386-402
Total Pages:
19

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 Record created 2017-04-01, last modified 2017-08-28

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