(Q43862952)

27 November 2017

title

Comparing four methods to estimate usual intake distributions (English)

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27 November 2017

8

H Boeing

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27 November 2017

O W Souverein

1

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27 November 2017

A L Dekkers

2

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27 November 2017

A Geelen

3

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27 November 2017

J Haubrock

4

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27 November 2017

J H de Vries

5

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27 November 2017

M C Ocké

6

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27 November 2017

U Harttig

7

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27 November 2017

P van 't Veer

9

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27 November 2017

EFCOVAL Consortium

10

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27 November 2017

publication date

1 July 2011

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European Journal of Clinical Nutrition

27 November 2017

published in

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27 November 2017

volume

65 Suppl 1

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27 November 2017

page(s)

S92-101

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https://scigraph.springernature.com/pub.10.1038/ejcn.2011.93

27 November 2017

exact match

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cites work

Selection of methodology to assess food intake

1 reference

https://api.crossref.org/works/10.1038%2FEJCN.2011.93

7 January 2021

A European food consumption survey method--conclusions and recommendations.

1 reference

https://api.crossref.org/works/10.1038%2FEJCN.2011.93

7 January 2021

Two non-consecutive 24 h recalls using EPIC-Soft software are sufficiently valid for comparing protein and potassium intake between five European centres--results from the European Food Consumption Validation (EFCOVAL) study.

1 reference

https://api.crossref.org/works/10.1038%2FEJCN.2011.93

7 January 2021

Statistical methods for estimating usual intake of nutrients and foods: a review of the theory.

1 reference

https://api.crossref.org/works/10.1038%2FEJCN.2011.93

7 January 2021

The population distribution of ratios of usual intakes of dietary components that are consumed every day can be estimated from repeated 24-hour recalls.

1 reference

https://api.crossref.org/works/10.1038%2FEJCN.2011.93

7 January 2021

Estimating usual food intake distributions by using the multiple source method in the EPIC-Potsdam Calibration Study

1 reference

https://api.crossref.org/works/10.1038%2FEJCN.2011.93

7 January 2021

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

1 reference

https://api.crossref.org/works/10.1038%2FEJCN.2011.93

7 January 2021

Modeling data with excess zeros and measurement error: application to evaluating relationships between episodically consumed foods and health outcomes

1 reference

https://api.crossref.org/works/10.1038%2FEJCN.2011.93

7 January 2021

Assessment of intake from the diet

1 reference

https://api.crossref.org/works/10.1038%2FEJCN.2011.93

7 January 2021

24-hour national dietary survey data: how do we interpret them most effectively?

1 reference

https://api.crossref.org/works/10.1038%2FEJCN.2011.93

7 January 2021

Interindividual and intraindividual variation in repeated measures of 24-hour dietary recall in the elderly.

1 reference

https://api.crossref.org/works/10.1038%2FEJCN.2011.93

7 January 2021

Structure of the standardized computerized 24-h diet recall interview used as reference method in the 22 centers participating in the EPIC project

1 reference

https://api.crossref.org/works/10.1038%2FEJCN.2011.93

7 January 2021

Modeling long-term exposure of the whole population to chemicals in food

1 reference

https://api.crossref.org/works/10.1038%2FEJCN.2011.93

7 January 2021

Probabilistic dietary exposure assessment taking into account variability in both amount and frequency of consumption

1 reference

https://api.crossref.org/works/10.1038%2FEJCN.2011.93

7 January 2021

The food propensity questionnaire: concept, development, and validation for use as a covariate in a model to estimate usual food intake.

1 reference

https://api.crossref.org/works/10.1038%2FEJCN.2011.93

7 January 2021

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

1 reference

https://api.crossref.org/works/10.1038%2FEJCN.2011.93

7 January 2021

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

1 reference

https://api.crossref.org/works/10.1038%2FEJCN.2011.93

7 January 2021

the potential of AGE MODE, an age-dependent model, to estimate usual intakes and prevalences of inadequate intakes in a population

1 reference

https://api.crossref.org/works/10.1038%2FEJCN.2011.93

7 January 2021

Can long-term exposure distributions be predicted from short-term measurements?

1 reference

https://api.crossref.org/works/10.1038%2FEJCN.2011.93

7 January 2021

Identifiers

DOI

10.1038/EJCN.2011.93

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Dimensions Publication ID

27 November 2017

1012592143

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