Dietary exposures tiers

Overview

Table 80 Tier overview for module Dietary exposures.

Name	EFSA 2012 Optimistic	EFSA 2012 Pessimistic	EC 2018 Tier 1	EC 2018 Tier 2
Compute exposures based on total diet study data	false	false	false	false
Dietary intake calculation method	DistributionEstimates	DistributionEstimates	DistributionEstimates	DistributionEstimates
Refined method choice	false	false	false	false
Sample based	true	true	true	true
Consumptions on the same day come from the same sample	false	true	true	true
Processing factor model	Fixed	FixedAllowHigher	Fixed	Fixed
Unit variability model	NoUnitVariability	BetaDistribution	BetaDistribution	BetaDistribution
Estimates nature		Realistic	Realistic	Realistic
Unit variability parameter		VariabilityFactor	VariabilityFactor	VariabilityFactor
Model type	OIM	OIM	OIM	OIM
Model-then-add	false	false	false	false
Covariate modelling	false	false	false	false
Iterate survey	false	false	false	false
Report consumptions and exposures per individual instead of per kg body weight	false	false	false	false

EFSA 2012 Optimistic

Use the optimistic model settings according to the EFSA Guidance 2012. Concentration values are sampled using a sample-based empirical distribution. Available processing factors are applied. No unit vatiability model should be applied.

Table 81 Tier definition for EFSA 2012 Optimistic.

Name	Setting
Compute exposures based on total diet study data	false
Dietary intake calculation method	DistributionEstimates
Refined method choice	false
Sample based	true
Consumptions on the same day come from the same sample	false
Processing factor model	Fixed
Unit variability model	NoUnitVariability
Model type	OIM
Model-then-add	false
Covariate modelling	false
Covariate modelling	false
Iterate survey	false
Report consumptions and exposures per individual instead of per kg body weight	false
Report consumptions and exposures per individual instead of per kg body weight	false

Input tiers

Table 82 Input tiers for EFSA 2012 Optimistic.

Module	Input tier
Concentration models	EFSA 2012 Optimistic

EFSA 2012 Pessimistic

Use the pessimistic model settings according to the EFSA Guidance 2012. Only processing factors > 1 are applied. For unit variability, the Beta or Lognormal distribution should be applied.

Table 83 Tier definition for EFSA 2012 Pessimistic.

Name	Setting
Compute exposures based on total diet study data	false
Dietary intake calculation method	DistributionEstimates
Refined method choice	false
Sample based	true
Consumptions on the same day come from the same sample	true
Processing factor model	FixedAllowHigher
Unit variability model	BetaDistribution
Estimates nature	Realistic
Unit variability parameter	VariabilityFactor
Model type	OIM
Model-then-add	false
Covariate modelling	false
Covariate modelling	false
Iterate survey	false
Report consumptions and exposures per individual instead of per kg body weight	false
Report consumptions and exposures per individual instead of per kg body weight	false

Input tiers

Table 84 Input tiers for EFSA 2012 Pessimistic.

Module	Input tier
Concentration models	EFSA 2012 Pessimistic

EC 2018 Tier 1

Table 85 Tier definition for EC 2018 Tier 1.

Name	Setting
Compute exposures based on total diet study data	false
Dietary intake calculation method	DistributionEstimates
Refined method choice	false
Sample based	true
Consumptions on the same day come from the same sample	true
Processing factor model	Fixed
Unit variability model	BetaDistribution
Estimates nature	Realistic
Unit variability parameter	VariabilityFactor
Model type	OIM
Model-then-add	false
Covariate modelling	false
Covariate modelling	false
Iterate survey	false
Report consumptions and exposures per individual instead of per kg body weight	false
Report consumptions and exposures per individual instead of per kg body weight	false

Input tiers

Table 86 Input tiers for EC 2018 Tier 1.

Module	Input tier
Concentration models	EC 2018 Tier 1

EC 2018 Tier 2

Table 87 Tier definition for EC 2018 Tier 2.

Name	Setting
Compute exposures based on total diet study data	false
Dietary intake calculation method	DistributionEstimates
Refined method choice	false
Sample based	true
Consumptions on the same day come from the same sample	true
Processing factor model	Fixed
Unit variability model	BetaDistribution
Estimates nature	Realistic
Unit variability parameter	VariabilityFactor
Model type	OIM
Model-then-add	false
Covariate modelling	false
Covariate modelling	false
Iterate survey	false
Report consumptions and exposures per individual instead of per kg body weight	false
Report consumptions and exposures per individual instead of per kg body weight	false

Input tiers

Table 88 Input tiers for EC 2018 Tier 2.

Module	Input tier
Concentration models	EC 2018 Tier 2