Linear regression calibration: theoretical framework and empirical results in EPIC, Germany

Annals of Nutrition & Metabolism
Gisela Kynast-WolfH Boeing

Abstract

Large scale dietary assessment instruments are usually based on the food frequency technique and have therefore to be tailored to the involved populations with respect to mode of application and inquired food items. In multicenter studies with different populations, the direct comparability of dietary data is therefore a challenge because each local dietary assessment tool might have its specific measurement error. Thus, for risk analysis the direct use of dietary measurements across centers requires a common reference. For example, in the European prospective cohort study EPIC (European Prospective Investigation into Cancer and Nutrition) a 24-hour recall was chosen to serve as such a reference instrument which was based on a highly standardized computer-assisted interview (EPIC-SOFT). The 24-hour recall was applied to a representative subset of EPIC participants in all centers. The theoretical framework of combining multicenter dietary information was previously published in several papers and is called linear regression calibration. It is based on a linear regression of the food frequency questionnaire to the reference. The regression coefficients describe the absolute and proportional scaling bias of the questionnaire with ...Continue Reading

Citations

Jul 27, 2010·Journal of the American Dietetic Association·Marina Campos AraujoRosangela Alves Pereira
Apr 5, 2013·Statistics in Medicine·Ruth H KeoghSheila A Rodwell
Oct 2, 2014·Revista brasileira de epidemiologia = Brazilian journal of epidemiology·Aline Martins de CarvalhoDirce Maria Lobo Marchioni
Jan 19, 2011·Cadernos de saúde pública·Juliana Araujo TeixeiraDirce Maria Lobo Marchioni
May 18, 2011·Ciência & saúde coletiva·Silvia Maria VociMaria do Rosário Dias de Oliveira Latorre
Mar 27, 2007·Revista de saúde pública·Betzabeth SlaterSilvia Maria Voci

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