Dietary exposures tiers

Overview

Table 93 Tier overview for module Dietary exposures.

Name	EFSA 2012 Optimistic	EFSA 2012 Pessimistic - Acute	EFSA 2012 Pessimistic - Chronic	EC 2018 Tier 1	EC 2018 Tier 2
Risk type		Acute	Chronic
Compute exposures based on total diet study data	false		false	false	false
Sample based	true	true	true	true	true
Consumptions on the same day come from the same sample	false	true	true	false	false
Apply processing factors	true	true	true	true	true
Use distribution	false	false	false	false	false
Use processing factors higher than one	false	true	true	false	false
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	false
Iterate survey	false	false	false	false	false
Report consumptions and exposures per individual instead of per kg body weight	false	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 variability model should be applied.

Table 94 Tier definition for EFSA 2012 Optimistic.

Name	Setting
Compute exposures based on total diet study data	false
Sample based	true
Consumptions on the same day come from the same sample	false
Apply processing factors	true
Use distribution	false
Use processing factors higher than one	false
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

Input tiers

Table 95 Input tiers for EFSA 2012 Optimistic.

Module	Input tier
Concentration models	EFSA 2012 Optimistic

EFSA 2012 Pessimistic - Acute

Acute probabilistic exposure assessment using the pessimistic model settings according to the EFSA Guidance 2012. Only processing factors > 1 are applied. For unit variability, the Beta distribution is applied.

Table 96 Tier definition for EFSA 2012 Pessimistic - Acute.

Name	Setting
Risk type	Acute
Sample based	true
Consumptions on the same day come from the same sample	true
Apply processing factors	true
Use distribution	false
Use processing factors higher than one	true
Unit variability model	BetaDistribution
Estimates nature	Realistic
Unit variability parameter	VariabilityFactor
Covariate modelling	false
Iterate survey	false
Report consumptions and exposures per individual instead of per kg body weight	false

Input tiers

Table 97 Input tiers for EFSA 2012 Pessimistic - Acute.

Module	Input tier
Concentration models	EFSA 2012 Pessimistic - Acute

EFSA 2012 Pessimistic - Chronic

Chronic probabilistic exposure assessment using the pessimistic model settings according to the EFSA Guidance 2012. Only processing factors > 1 are applied.

Table 98 Tier definition for EFSA 2012 Pessimistic - Chronic.

Name	Setting
Risk type	Chronic
Compute exposures based on total diet study data	false
Sample based	true
Consumptions on the same day come from the same sample	true
Apply processing factors	true
Use distribution	false
Use processing factors higher than one	true
Model type	OIM
Model-then-add	false
Covariate modelling	false
Iterate survey	false
Report consumptions and exposures per individual instead of per kg body weight	false

Input tiers

Table 99 Input tiers for EFSA 2012 Pessimistic - Chronic.

Module	Input tier
Concentration models	EFSA 2012 Pessimistic - Chronic

EC 2018 Tier 1

Table 100 Tier definition for EC 2018 Tier 1.

Name	Setting
Compute exposures based on total diet study data	false
Sample based	true
Consumptions on the same day come from the same sample	false
Apply processing factors	true
Use distribution	false
Use processing factors higher than one	false
Unit variability model	BetaDistribution
Estimates nature	Realistic
Unit variability parameter	VariabilityFactor
Model type	OIM
Model-then-add	false
Covariate modelling	false
Iterate survey	false
Report consumptions and exposures per individual instead of per kg body weight	false

Input tiers

Table 101 Input tiers for EC 2018 Tier 1.

Module	Input tier
Concentration models	EC 2018 Tier 1

EC 2018 Tier 2

Table 102 Tier definition for EC 2018 Tier 2.

Name	Setting
Compute exposures based on total diet study data	false
Sample based	true
Consumptions on the same day come from the same sample	false
Apply processing factors	true
Use distribution	false
Use processing factors higher than one	false
Unit variability model	BetaDistribution
Estimates nature	Realistic
Unit variability parameter	VariabilityFactor
Model type	OIM
Model-then-add	false
Covariate modelling	false
Iterate survey	false
Report consumptions and exposures per individual instead of per kg body weight	false

Input tiers

Table 103 Input tiers for EC 2018 Tier 2.

Module	Input tier
Concentration models	EC 2018 Tier 2

EFSA 2012 Pessimistic

Note

This tier is deprecated and has been replaced by separate acute/chronic tiers.

Probabilistic exposure assessment using the pessimistic model settings according to the EFSA Guidance 2012. Only processing factors > 1 are applied. For unit variability, the Beta distribution is applied.

Table 104 Tier definition for EFSA 2012 Pessimistic.

Name	Setting
Compute exposures based on total diet study data	false
Sample based	true
Consumptions on the same day come from the same sample	true
Apply processing factors	true
Use distribution	false
Use processing factors higher than one	true
Unit variability model	BetaDistribution
Estimates nature	Realistic
Unit variability parameter	VariabilityFactor
Model type	OIM
Model-then-add	false
Covariate modelling	false
Iterate survey	false
Report consumptions and exposures per individual instead of per kg body weight	false

Input tiers

Table 105 Input tiers for EFSA 2012 Pessimistic.

Module	Input tier
Concentration models	EFSA 2012 Pessimistic