A European tool for usual intake distribution estimation in relation to data collection by EFSA
暂无分享,去创建一个
Hilko van der Voet | Paul W. Goedhart | H. Voet | P. Goedhart | J. V. Klaveren | Jacob D. van Klaveren | Dagmar Wapperom | D. Wapperom
[1] D. A. Williams,et al. Extra‐Binomial Variation in Logistic Linear Models , 1982 .
[2] A. Carriquiry,et al. A Semiparametric Transformation Approach to Estimating Usual Daily Intake Distributions , 1996 .
[3] Wayne A. Fuller,et al. Estimating Usual Dietary Intake Distributions: Adjusting for Measurement Error and Nonnormality in 24-Hour Food Intake Data , 1997 .
[4] Edith D. de Leeuw,et al. Survey Measurement and Process Quality: Lyberg/Survey , 1997 .
[5] R. Rigby,et al. Generalized additive models for location, scale and shape , 2005 .
[6] Adrian Bowman,et al. Generalized additive models for location, scale and shape - Discussion , 2005 .
[7] H. van der Voet,et al. MCRA, Release 4.0, a web-based program for Monte Carlo Risk Assessment , 2005 .
[8] J. Boer,et al. the potential of AGE MODE, an age-dependent model, to estimate usual intakes and prevalences of inadequate intakes in a population. , 2006, The Journal of nutrition.
[9] D. Midthune,et al. Statistical methods for estimating usual intake of nutrients and foods: a review of the theory. , 2006, Journal of the American Dietetic Association.
[10] R. Carroll,et al. A new statistical method for estimating the usual intake of episodically consumed foods with application to their distribution. , 2006, Journal of the American Dietetic Association.
[11] Wout Slob,et al. Probabilistic dietary exposure assessment taking into account variability in both amount and frequency of consumption. , 2006, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.
[12] W. D. de Boer,et al. Comparison of two models for the estimation of usual intake addressing zero consumption and non-normality , 2009, Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment.
[13] Raymond J Carroll,et al. Modeling Data with Excess Zeros and Measurement Error: Application to Evaluating Relationships between Episodically Consumed Foods and Health Outcomes , 2009, Biometrics.
[14] A. Petersen,et al. Harmonisation of food consumption data format for dietary exposure assessments of chemicals analysed in raw agricultural commodities. , 2009, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.
[15] Raymond J Carroll,et al. A mixed‐effects model approach for estimating the distribution of usual intake of nutrients: The NCI method , 2010, Statistics in medicine.
[16] Hilko van der Voet,et al. Can current dietary exposure models handle aggregated intake from different foods? A simulation study for the case of two foods. , 2010, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.
[17] Marc C Kennedy,et al. Bayesian modelling of long-term dietary intakes from multiple sources. , 2010, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.
[18] Ruth H. Keogh,et al. Allowing for never and episodic consumers when correcting for error in food record measurements of dietary intake , 2011, Biostatistics.
[19] L. Andersen,et al. Estimating usual food intake distributions by using the multiple source method in the EPIC-Potsdam Calibration Study. , 2011, The Journal of nutrition.
[20] H. Boeing,et al. The MSM program: web-based statistics package for estimating usual dietary intake using the Multiple Source Method , 2011, European Journal of Clinical Nutrition.
[21] R. Carroll,et al. The International Journal of Biostatistics Fitting a Bivariate Measurement Error Model for Episodically Consumed Dietary Components , 2011 .
[22] D. Baer,et al. Oolong tea does not improve glucose metabolism in non-diabetic adults , 2011, European Journal of Clinical Nutrition.
[23] C. Leclercq,et al. Guidance of EFSA: Use of the EFSA Comprehensive European Food Consumption Database in exposure assessment , 2011 .
[24] Raymond J Carroll,et al. A NEW MULTIVARIATE MEASUREMENT ERROR MODEL WITH ZERO-INFLATED DIETARY DATA, AND ITS APPLICATION TO DIETARY ASSESSMENT. , 2011, The annals of applied statistics.
[25] Hilko van der Voet,et al. Uncertainty in intake due to portion size estimation in 24-hour recalls varies between food groups. , 2011, The Journal of nutrition.
[26] K. Dodd,et al. A comparison by simulation of different methods to estimate the usual intake distribution for episodically consumed foods , 2012 .
[27] M. Kennedy,et al. Guidance on the use of probabilistic methodology for modelling dietary exposure to pesticide residues , 2012 .
[28] A. Mohan. Pesticide residues in food. , 2013, The National medical journal of India.