Document Detail


A mixed-effects model approach for estimating the distribution of usual intake of nutrients: the NCI method.
MedLine Citation:
PMID:  20862656     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
It is of interest to estimate the distribution of usual nutrient intake for a population from repeat 24-h dietary recall assessments. A mixed effects model and quantile estimation procedure, developed at the National Cancer Institute (NCI), may be used for this purpose. The model incorporates a Box-Cox parameter and covariates to estimate usual daily intake of nutrients; model parameters are estimated via quasi-Newton optimization of a likelihood approximated by the adaptive Gaussian quadrature. The parameter estimates are used in a Monte Carlo approach to generate empirical quantiles; standard errors are estimated by bootstrap. The NCI method is illustrated and compared with current estimation methods, including the individual mean and the semi-parametric method developed at the Iowa State University (ISU), using data from a random sample and computer simulations. Both the NCI and ISU methods for nutrients are superior to the distribution of individual means. For simple (no covariate) models, quantile estimates are similar between the NCI and ISU methods. The bootstrap approach used by the NCI method to estimate standard errors of quantiles appears preferable to Taylor linearization. One major advantage of the NCI method is its ability to provide estimates for subpopulations through the incorporation of covariates into the model. The NCI method may be used for estimating the distribution of usual nutrient intake for populations and subpopulations as part of a unified framework of estimation of usual intake of dietary constituents.
Authors:
Janet A Tooze; Victor Kipnis; Dennis W Buckman; Raymond J Carroll; Laurence S Freedman; Patricia M Guenther; Susan M Krebs-Smith; Amy F Subar; Kevin W Dodd
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Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  Statistics in medicine     Volume:  29     ISSN:  1097-0258     ISO Abbreviation:  Stat Med     Publication Date:  2010 Nov 
Date Detail:
Created Date:  2010-11-12     Completed Date:  2011-04-22     Revised Date:  2014-09-22    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  England    
Other Details:
Languages:  eng     Pagination:  2857-68     Citation Subset:  IM    
Copyright Information:
Copyright © 2010 John Wiley & Sons, Ltd.
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MeSH Terms
Descriptor/Qualifier:
Adult
Age Factors
Aged
Algorithms
Calcium, Dietary / administration & dosage
Computer Simulation
Diet Surveys
Eating*
Female
Humans
Interviews as Topic
Iron, Dietary / administration & dosage
Likelihood Functions
Male
Middle Aged
Models, Statistical*
Monte Carlo Method
National Cancer Institute (U.S.)*
Nutrition Assessment*
Questionnaires
Sex Factors
Statistical Distributions*
United States
Vitamin A / administration & dosage
Young Adult
Grant Support
ID/Acronym/Agency:
R01 CA057030/CA/NCI NIH HHS; R37 CA057030/CA/NCI NIH HHS; R37 CA057030-23/CA/NCI NIH HHS
Chemical
Reg. No./Substance:
0/Calcium, Dietary; 0/Iron, Dietary; 11103-57-4/Vitamin A
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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