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

Author

Listed:
  • Maria Paola Caria

    (Karolinska Institutet, Sweden)

  • Rino Bellocco

    (Karolinska Institutet, Sweden)

  • Maria Rosaria Galanti

    (Karolinska Institutet, Sweden)

  • Nicholas J. Horton

    (Smith College, Northampton, MA)

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. Copyright 2011 by StataCorp LP.

Suggested Citation

  • Maria Paola Caria & Rino Bellocco & Maria Rosaria Galanti & Nicholas J. Horton, 2011. "The impact of different sources of body mass index assessment on smoking onset: An application of multiple-source information models," Stata Journal, StataCorp LP, vol. 11(3), pages 386-402, September.
    • Handle: RePEc:tsj:stataj:v:11:y:2011:i:3:p:386-402
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    References listed on IDEAS

    as
    1. Zhiqiang Wang, 2007. "Two postestimation commands for assessing confounding effects in epidemiological studies," Stata Journal, StataCorp LP, vol. 7(2), pages 183-196, June.
    2. Peter Cummings, 2009. "Methods for estimating adjusted risk ratios," Stata Journal, StataCorp LP, vol. 9(2), pages 175-196, June.
    3. Ben Jann, 2005. "Making regression tables from stored estimates," Stata Journal, StataCorp LP, vol. 5(3), pages 288-308, September.
    4. Nicholas Horton & Garrett Fitzmaurice, 2005. "Analysis of multiple source/multiple informant data in Stata," North American Stata Users' Group Meetings 2005 1, Stata Users Group.
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