AuthorsCarroll, Raymond J.
KAUST Grant NumberKUS-CI-016-04
MetadataShow full item record
AbstractIn the United States the preferred method of obtaining dietary intake data is the 24-hour dietary recall, yet the measure of most interest is usual or long-term average daily intake, which is impossible to measure. Thus, usual dietary intake is assessed with considerable measurement error. We were interested in estimating the population distribution of the Healthy Eating Index-2005 (HEI-2005), a multi-component dietary quality index involving ratios of interrelated dietary components to energy, among children aged 2-8 in the United States, using a national survey and incorporating survey weights. We developed a highly nonlinear, multivariate zero-inflated data model with measurement error to address this question. Standard nonlinear mixed model software such as SAS NLMIXED cannot handle this problem. We found that taking a Bayesian approach, and using MCMC, resolved the computational issues and doing so enabled us to provide a realistic distribution estimate for the HEI-2005 total score. While our computation and thinking in solving this problem was Bayesian, we relied on the well-known close relationship between Bayesian posterior means and maximum likelihood, the latter not computationally feasible, and thus were able to develop standard errors using balanced repeated replication, a survey-sampling approach.
CitationCarroll RJ (2014) Estimating the Distribution of Dietary Consumption Patterns. Statist Sci 29: 2–8. Available: http://dx.doi.org/10.1214/12-STS413.
SponsorsCarroll's research was supported by a grant from the National Cancer Institute (R27-CA057030). He thanks the co-authors of Zhang et al. (2011b) for their work on the project. This publication is based in part on work supported by Award Number KUS-CI-016-04, made by King Abdullah University of Science and Technology (KAUST), and also in part by the Spanish Ministry of Science and Innovation (project MTM 2011-22664 which is co-funded by FEDER).
PublisherInstitute of Mathematical Statistics
PubMed Central IDPMC4189114
CollectionsPublications Acknowledging KAUST Support
- A NEW MULTIVARIATE MEASUREMENT ERROR MODEL WITH ZERO-INFLATED DIETARY DATA, AND ITS APPLICATION TO DIETARY ASSESSMENT.
- Authors: Zhang S, Midthune D, Guenther PM, Krebs-Smith SM, Kipnis V, Dodd KW, Buckman DW, Tooze JA, Freedman L, Carroll RJ
- Issue date: 2011 Jun 1
- Fitting a bivariate measurement error model for episodically consumed dietary components.
- Authors: Zhang S, Krebs-Smith SM, Midthune D, Perez A, Buckman DW, Kipnis V, Freedman LS, Dodd KW, Carroll RJ
- Issue date: 2011
- The Healthy Eating Index-2010 is a valid and reliable measure of diet quality according to the 2010 Dietary Guidelines for Americans.
- Authors: Guenther PM, Kirkpatrick SI, Reedy J, Krebs-Smith SM, Buckman DW, Dodd KW, Casavale KO, Carroll RJ
- Issue date: 2014 Mar
- A mixed-effects model approach for estimating the distribution of usual intake of nutrients: the NCI method.
- Authors: Tooze JA, Kipnis V, Buckman DW, Carroll RJ, Freedman LS, Guenther PM, Krebs-Smith SM, Subar AF, Dodd KW
- Issue date: 2010 Nov 30
- A population's distribution of Healthy Eating Index-2005 component scores can be estimated when more than one 24-hour recall is available.
- Authors: Freedman LS, Guenther PM, Krebs-Smith SM, Dodd KW, Midthune D
- Issue date: 2010 Aug