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A latent Gaussian model for multivariate consumption data

Authors
Journal
Food Quality and Preference
0950-3293
Publisher
Elsevier
Publication Date
Volume
18
Issue
3
Identifiers
DOI: 10.1016/j.foodqual.2006.03.025
Keywords
  • Chronic Intake
  • Factor Analysis
  • Latent Gaussian Model
  • Multivariate Consumption

Abstract

Abstract We propose a multivariate statistical model for individual consumption of multiple food types, to provide a more objective basis for exposure assessment from chronic consumption. Intake of each type of food is modelled by a latent Gaussian variable, where intake is zero if the latent variable is below a threshold, and otherwise is a monotonically increasing function of the latent variable. Further, we use a Factor Analysis model to describe the association in intakes between different foods. This reduces the number of parameters to be estimated and aids interpretation. The method is illustrated using data from the Dietary and Nutritional Survey of British Adults, 1986–1987.

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