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Items: 1 to 20 of 115

1.

A mixed-effects model approach for estimating the distribution of usual intake of nutrients: the NCI method.

Tooze JA, Kipnis V, Buckman DW, Carroll RJ, Freedman LS, Guenther PM, Krebs-Smith SM, Subar AF, Dodd KW.

Stat Med. 2010 Nov 30;29(27):2857-68. doi: 10.1002/sim.4063.

2.

Comparing four methods to estimate usual intake distributions.

Souverein OW, Dekkers AL, Geelen A, Haubrock J, de Vries JH, Ocké MC, Harttig U, Boeing H, van 't Veer P; EFCOVAL Consortium..

Eur J Clin Nutr. 2011 Jul;65 Suppl 1:S92-101. doi: 10.1038/ejcn.2011.93.

PMID:
21731012
3.

A new statistical method for estimating the usual intake of episodically consumed foods with application to their distribution.

Tooze JA, Midthune D, Dodd KW, Freedman LS, Krebs-Smith SM, Subar AF, Guenther PM, Carroll RJ, Kipnis V.

J Am Diet Assoc. 2006 Oct;106(10):1575-87.

4.

Comparison of the ISU, NCI, MSM, and SPADE Methods for Estimating Usual Intake: A Simulation Study of Nutrients Consumed Daily.

Laureano GH, Torman VB, Crispim SP, Dekkers AL, Camey SA.

Nutrients. 2016 Mar 15;8(3):166. doi: 10.3390/nu8030166.

5.
6.

Parametric and nonparametric population methods: their comparative performance in analysing a clinical dataset and two Monte Carlo simulation studies.

Bustad A, Terziivanov D, Leary R, Port R, Schumitzky A, Jelliffe R.

Clin Pharmacokinet. 2006;45(4):365-83.

PMID:
16584284
8.

Assessing usual dietary intake in complex sample design surveys: the National Dietary Survey.

Barbosa Fdos S, Sichieri R, Junger WL.

Rev Saude Publica. 2013 Feb;47 Suppl 1:171S-6S.

9.

Statistical method to assess usual dietary intakes in the European population.

Vilone G, Comiskey D, Heraud F, O'Mahony C.

Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2014;31(10):1639-51. doi: 10.1080/19440049.2014.955886. Epub 2014 Sep 10. Erratum in: Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2014;31(12):2103.

PMID:
25205439
10.

Performance of statistical methods to correct food intake distribution: comparison between observed and estimated usual intake.

Verly-Jr E, Oliveira DC, Fisberg RM, Marchioni DM.

Br J Nutr. 2016 Sep;116(5):897-903. doi: 10.1017/S0007114516002725.

PMID:
27523187
11.

Gaussian Quadrature is an efficient method for the back-transformation in estimating the usual intake distribution when assessing dietary exposure.

Dekkers AL, Slob W.

Food Chem Toxicol. 2012 Oct;50(10):3853-61. doi: 10.1016/j.fct.2012.06.044. Epub 2012 Jul 6.

PMID:
22771820
12.
13.

Precision of usual food intake estimates according to the percentage of individuals with a second dietary measurement.

Verly-Jr E, Castro MA, Fisberg RM, Marchioni DM.

J Acad Nutr Diet. 2012 Jul;112(7):1015-20. doi: 10.1016/j.jand.2012.03.028.

PMID:
22889632
14.

A population's distribution of Healthy Eating Index-2005 component scores can be estimated when more than one 24-hour recall is available.

Freedman LS, Guenther PM, Krebs-Smith SM, Dodd KW, Midthune D.

J Nutr. 2010 Aug;140(8):1529-34. doi: 10.3945/jn.110.124594. Epub 2010 Jun 23.

15.

Evaluation of the probabilistic distribution of dietary biotin intake in Japan using Monte Carlo simulation.

Murakami T, Takakura K, Yamano T.

J Nutr Sci Vitaminol (Tokyo). 2010;56(6):449-54.

16.
17.

Estimating the distribution of usual dietary intake by short-term measurements.

Hoffmann K, Boeing H, Dufour A, Volatier JL, Telman J, Virtanen M, Becker W, De Henauw S; EFCOSUM Group..

Eur J Clin Nutr. 2002 May;56 Suppl 2:S53-62.

18.

Fitting a bivariate measurement error model for episodically consumed dietary components.

Zhang S, Krebs-Smith SM, Midthune D, Perez A, Buckman DW, Kipnis V, Freedman LS, Dodd KW, Carroll RJ.

Int J Biostat. 2011;7(1):1. doi: 10.2202/1557-4679.1267. Epub 2011 Jan 6.

19.

Uncertainty in intake due to portion size estimation in 24-hour recalls varies between food groups.

Souverein OW, de Boer WJ, Geelen A, van der Voet H, de Vries JH, Feinberg M, van't Veer P.

J Nutr. 2011 Jul;141(7):1396-401. doi: 10.3945/jn.111.139220. Epub 2011 May 11.

20.

Validity and reproducibility of a computerised tool for assessing the iron, calcium and vitamin C intake of Belgian women.

Matthys C, Pynaert I, Roe M, Fairweather-Tait SJ, Heath AL, De Henauw S.

Eur J Clin Nutr. 2004 Sep;58(9):1297-305.

PMID:
15054406

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