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

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

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

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

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

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