title: The impact of different sources of body mass index assessment on smoking onset: An application of multiple-source information models.
abstract: 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.
authors: Karolinska Institutet, Sweden, Avogadro University, Novara, Italy.
authors: Maria Paola
authors: MP
authors: Caria
authors: Rino
authors: R
authors: Bellocco
authors: Maria Rosaria
authors: MR
authors: Galanti
authors: Nicholas J
authors: NJ
authors: Horton