Dietary exposures tiers

Overview

Table 120 Tier overview for module Dietary exposures.
Name EC 2018 Acute Tier I EC 2018 Chronic - Tier I EC 2018 Acute Tier II EC 2018 Chronic Tier II EFSA 2012 Optimistic EFSA 2012 Acute Pessimistic EFSA 2012 Chronic Pessimistic EFSA 2022 Acute Tier I EFSA 2022 Chronic Tier I EFSA 2022 Acute Tier II EFSA 2022 Chronic Tier II

Exposure type

Acute

Chronic

Acute

Chronic

Acute

Chronic

Acute

Chronic

Acute

Chronic

Total diet study concentration data

false

false

false

false

false

false

false

false

false

false

Multiple substances analysis

true

true

true

true

true

true

true

true

Compute cumulative exposures

true

true

true

true

true

true

true

true

Sample based

true

true

true

true

true

true

true

true

true

true

true

Consumptions on the same day come from the same sample

false

false

false

false

false

true

true

false

false

false

false

Apply processing factors

true

true

true

true

true

true

true

true

true

true

true

Use distribution

false

false

false

false

false

false

false

false

false

false

false

Ignore processing factors less than 1

false

false

false

false

false

true

true

false

false

false

false

Use unit variability

true

true

true

true

false

true

true

true

true

true

Unit variability model

BetaDistribution

BetaDistribution

BetaDistribution

BetaDistribution

BetaDistribution

BetaDistribution

BetaDistribution

BetaDistribution

BetaDistribution

Estimates nature

Realistic

Realistic

Realistic

Realistic

Realistic

Realistic

Realistic

Realistic

Realistic

Unit variability parameter

VariabilityFactor

VariabilityFactor

VariabilityFactor

VariabilityFactor

VariabilityFactor

VariabilityFactor

VariabilityFactor

VariabilityFactor

VariabilityFactor

Model type

OIM

OIM

OIM

OIM

OIM

OIM

OIM

OIM

OIM

OIM

Model-then-add

false

false

false

false

false

false

false

false

false

false

Covariate modelling

false

false

false

false

false

false

false

false

false

false

false

Iterate survey

false

false

false

false

false

false

false

false

false

false

false

Report consumptions and exposures per individual instead of per kg body weight

false

false

false

false

false

false

false

false

false

false

false

Substance conversion method

UseMostToxic

UseMostToxic

DrawRandom

DrawRandom

UseMostToxic

UseMostToxic

DrawRandom

DrawRandom

Retain all allocated substances after active substance allocation

true

true

true

true

true

true

true

true

Account for substance authorisations in substance conversions

false

false

true

true

false

false

true

true

Fix duplicate substance allocation inconsistencies

false

false

false

false

false

false

false

false

Use extrapolation rules

true

true

true

true

false

false

false

false

Threshold for extrapolation

10

10

10

10

Restrict extrapolations to equal MRLs

true

true

true

true

Restrict extrapolations to authorised uses

true

true

true

true

Impute water concentrations

true

true

true

true

true

true

true

true

Water concentration value (µg/kg)

0.1

0.1

0.05

0.05

0.1

0.1

0.05

0.05

Restrict water imputation to the five most toxic substances

true

true

true

true

true

true

true

true

Restrict water imputation to authorised uses

false

false

false

false

false

false

false

false

Restrict water imputation to approved substances

false

false

false

false

true

true

true

true

Default concentration model

Empirical

Empirical

Empirical

Empirical

Empirical

NonDetectSpikeLogNormal

NonDetectSpikeLogNormal

Empirical

Empirical

Empirical

Empirical

Include MRL fallback model

false

false

false

false

false

true

true

false

false

false

false

Restrict LOR imputation to authorised uses

false

false

false

false

false

false

false

false

false

false

Censored values replacement

ReplaceByLOR

ReplaceByLOR

ReplaceByLOR

ReplaceByLOR

ReplaceByZero

ReplaceByLOR

ReplaceByLOR

ReplaceByLOR

ReplaceByLOR

ReplaceByLOR

ReplaceByLOR

Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD)

0.5

0.5

0.5

0.5

1

1

0.5

0.5

0.5

0.5

Impute missing values from available values (if unchecked, missing values are imputed with 0)

true

true

true

true

false

true

true

true

true

true

true

Correlate imputed values with sample potency

true

true

false

false

false

true

true

true

true

false

false

Use occurrence frequencies for imputation

true

true

true

true

false

true

true

true

true

Parametric uncertainty

false

false

false

false

false

true

false

false

false

false

false

Apply occurrence pattern percentages

false

false

true

true

false

false

true

true

Scale up use frequency to 100%

true

true

true

true

Restrict use percentage up-scaling to authorised uses

true

true

true

true

MRL Factor (f x MRL)

1

1

Ignore sampling weights

true

true

true

true

Exclude individuals with less than N days

false

true

false

true

N (number of days in survey)

2

2

2

2

Use substance conversion rules

true

true

true

true

Retrospective dietary CRA (EC 2018) - Acute / Tier I

Table 121 Tier definition for Retrospective dietary CRA (EC 2018) - Acute / Tier I.
Name Setting From input tier In module
Exposure type Acute
Total diet study concentration data false
Multiple substances analysis true
Compute cumulative exposures true
Sample based true
Consumptions on the same day come from the same sample false
Apply processing factors true
Use distribution false
Ignore processing factors less than 1 false
Use unit variability 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
Substance conversion method UseMostToxic Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentrations
Retain all allocated substances after active substance allocation true Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentrations
Account for substance authorisations in substance conversions false Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentrations
Fix duplicate substance allocation inconsistencies false Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentrations
Use extrapolation rules true Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentrations
Threshold for extrapolation 10 Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentrations
Restrict extrapolations to equal MRLs true Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentrations
Restrict extrapolations to authorised uses true Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentrations
Impute water concentrations true Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentrations
Water concentration value (µg/kg) 0.1 Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentrations
Restrict water imputation to the five most toxic substances true Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentrations
Restrict water imputation to authorised uses false Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentrations
Restrict water imputation to approved substances false Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentrations
Default concentration model Empirical Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentration models
Include MRL fallback model false Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentration models
Restrict LOR imputation to authorised uses false Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentration models
Censored values replacement ReplaceByLOR Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) 0.5 Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentration models
Sample based true Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) true Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentration models
Correlate imputed values with sample potency true Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentration models
Use occurrence frequencies for imputation true Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentration models
Parametric uncertainty false Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentration models
Apply occurrence pattern percentages false Retrospective dietary CRA (EC 2018) - Acute / Tier I Occurrence patterns

Retrospective dietary CRA (EC 2018) - Chronic / Tier I

Table 122 Tier definition for Retrospective dietary CRA (EC 2018) - Chronic / Tier I.
Name Setting From input tier In module
Exposure type Chronic
Total diet study concentration data false
Multiple substances analysis true
Compute cumulative exposures true
Sample based true
Consumptions on the same day come from the same sample false
Apply processing factors true
Use distribution false
Ignore processing factors less than 1 false
Use unit variability 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
Substance conversion method UseMostToxic Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentrations
Retain all allocated substances after active substance allocation true Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentrations
Account for substance authorisations in substance conversions false Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentrations
Fix duplicate substance allocation inconsistencies false Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentrations
Use extrapolation rules true Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentrations
Threshold for extrapolation 10 Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentrations
Restrict extrapolations to equal MRLs true Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentrations
Restrict extrapolations to authorised uses true Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentrations
Impute water concentrations true Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentrations
Water concentration value (µg/kg) 0.1 Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentrations
Restrict water imputation to the five most toxic substances true Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentrations
Restrict water imputation to authorised uses false Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentrations
Restrict water imputation to approved substances false Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentrations
Default concentration model Empirical Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentration models
Include MRL fallback model false Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentration models
Restrict LOR imputation to authorised uses false Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentration models
Censored values replacement ReplaceByLOR Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) 0.5 Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentration models
Sample based true Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) true Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentration models
Correlate imputed values with sample potency true Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentration models
Use occurrence frequencies for imputation true Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentration models
Parametric uncertainty false Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentration models
Apply occurrence pattern percentages false Retrospective dietary CRA (EC 2018) - Chronic / Tier I Occurrence patterns

Retrospective dietary CRA (EC 2018) - Acute / Tier II

Table 123 Tier definition for Retrospective dietary CRA (EC 2018) - Acute / Tier II.
Name Setting From input tier In module
Exposure type Acute
Total diet study concentration data false
Multiple substances analysis true
Compute cumulative exposures true
Sample based true
Consumptions on the same day come from the same sample false
Apply processing factors true
Use distribution false
Ignore processing factors less than 1 false
Use unit variability 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
Substance conversion method DrawRandom Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentrations
Retain all allocated substances after active substance allocation true Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentrations
Account for substance authorisations in substance conversions true Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentrations
Fix duplicate substance allocation inconsistencies false Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentrations
Use extrapolation rules true Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentrations
Threshold for extrapolation 10 Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentrations
Restrict extrapolations to equal MRLs true Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentrations
Restrict extrapolations to authorised uses true Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentrations
Impute water concentrations true Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentrations
Water concentration value (µg/kg) 0.05 Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentrations
Restrict water imputation to the five most toxic substances true Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentrations
Restrict water imputation to authorised uses false Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentrations
Restrict water imputation to approved substances false Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentrations
Default concentration model Empirical Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentration models
Include MRL fallback model false Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentration models
Restrict LOR imputation to authorised uses false Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentration models
Censored values replacement ReplaceByLOR Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) 0.5 Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentration models
Sample based true Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) true Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentration models
Correlate imputed values with sample potency false Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentration models
Use occurrence frequencies for imputation true Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentration models
Parametric uncertainty false Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentration models
Apply occurrence pattern percentages true Retrospective dietary CRA (EC 2018) - Acute / Tier II Occurrence patterns
Scale up use frequency to 100% true Retrospective dietary CRA (EC 2018) - Acute / Tier II Occurrence patterns
Restrict use percentage up-scaling to authorised uses true Retrospective dietary CRA (EC 2018) - Acute / Tier II Occurrence patterns

Retrospective dietary CRA (EC 2018) - Chronic / Tier II

Table 124 Tier definition for Retrospective dietary CRA (EC 2018) - Chronic / Tier II.
Name Setting From input tier In module
Exposure type Chronic
Total diet study concentration data false
Multiple substances analysis true
Compute cumulative exposures true
Sample based true
Consumptions on the same day come from the same sample false
Apply processing factors true
Use distribution false
Ignore processing factors less than 1 false
Use unit variability 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
Substance conversion method DrawRandom Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentrations
Retain all allocated substances after active substance allocation true Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentrations
Account for substance authorisations in substance conversions true Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentrations
Fix duplicate substance allocation inconsistencies false Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentrations
Use extrapolation rules true Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentrations
Threshold for extrapolation 10 Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentrations
Restrict extrapolations to equal MRLs true Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentrations
Restrict extrapolations to authorised uses true Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentrations
Impute water concentrations true Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentrations
Water concentration value (µg/kg) 0.05 Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentrations
Restrict water imputation to the five most toxic substances true Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentrations
Restrict water imputation to authorised uses false Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentrations
Restrict water imputation to approved substances false Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentrations
Default concentration model Empirical Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentration models
Include MRL fallback model false Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentration models
Restrict LOR imputation to authorised uses false Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentration models
Censored values replacement ReplaceByLOR Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) 0.5 Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentration models
Sample based true Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) true Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentration models
Correlate imputed values with sample potency false Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentration models
Use occurrence frequencies for imputation true Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentration models
Parametric uncertainty false Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentration models
Apply occurrence pattern percentages true Retrospective dietary CRA (EC 2018) - Chronic / Tier II Occurrence patterns
Scale up use frequency to 100% true Retrospective dietary CRA (EC 2018) - Chronic / Tier II Occurrence patterns
Restrict use percentage up-scaling to authorised uses true Retrospective dietary CRA (EC 2018) - Chronic / Tier II Occurrence patterns

Retrospective dietary CRA (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 125 Tier definition for Retrospective dietary CRA (EFSA 2012) - Optimistic.
Name Setting From input tier In module
Total diet study concentration data false
Sample based true
Consumptions on the same day come from the same sample false
Apply processing factors true
Use distribution false
Ignore processing factors less than 1 false
Use unit variability false
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
Default concentration model Empirical Retrospective dietary CRA (EFSA 2012) - Optimistic Concentration models
Include MRL fallback model false Retrospective dietary CRA (EFSA 2012) - Optimistic Concentration models
Censored values replacement ReplaceByZero Retrospective dietary CRA (EFSA 2012) - Optimistic Concentration models
Sample based true Retrospective dietary CRA (EFSA 2012) - Optimistic Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) false Retrospective dietary CRA (EFSA 2012) - Optimistic Concentration models
Correlate imputed values with sample potency false Retrospective dietary CRA (EFSA 2012) - Optimistic Concentration models
Use occurrence frequencies for imputation false Retrospective dietary CRA (EFSA 2012) - Optimistic Concentration models
Parametric uncertainty false Retrospective dietary CRA (EFSA 2012) - Optimistic Concentration models

Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic

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 126 Tier definition for Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic.
Name Setting From input tier In module
Exposure type Acute
Sample based true
Consumptions on the same day come from the same sample true
Apply processing factors true
Use distribution false
Ignore processing factors less than 1 true
Use unit variability 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
Default concentration model NonDetectSpikeLogNormal Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic Concentration models
Include MRL fallback model true Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic Concentration models
Restrict LOR imputation to authorised uses false Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic Concentration models
Censored values replacement ReplaceByLOR Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) 1 Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic Concentration models
MRL Factor (f x MRL) 1 Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic Concentration models
Sample based true Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) true Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic Concentration models
Correlate imputed values with sample potency true Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic Concentration models
Parametric uncertainty true Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic Concentration models

Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic

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

Table 127 Tier definition for Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic.
Name Setting From input tier In module
Exposure type Chronic
Total diet study concentration data false
Sample based true
Consumptions on the same day come from the same sample true
Apply processing factors true
Use distribution false
Ignore processing factors less than 1 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
Default concentration model NonDetectSpikeLogNormal Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic Concentration models
Include MRL fallback model true Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic Concentration models
Restrict LOR imputation to authorised uses false Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic Concentration models
Censored values replacement ReplaceByLOR Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) 1 Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic Concentration models
MRL Factor (f x MRL) 1 Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic Concentration models
Sample based true Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) true Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic Concentration models
Correlate imputed values with sample potency true Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic Concentration models
Parametric uncertainty false Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic Concentration models

Retrospective dietary CRA (EFSA 2022) - Acute / Tier I

Table 128 Tier definition for Retrospective dietary CRA (EFSA 2022) - Acute / Tier I.
Name Setting From input tier In module
Exposure type Acute
Total diet study concentration data false
Multiple substances analysis true
Compute cumulative exposures true
Sample based true
Consumptions on the same day come from the same sample false
Apply processing factors true
Use distribution false
Ignore processing factors less than 1 false
Use unit variability 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
Ignore sampling weights true Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Consumptions
Exclude individuals with less than N days false Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Consumptions
N (number of days in survey) 2 Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Consumptions
Use substance conversion rules true Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Concentrations
Substance conversion method UseMostToxic Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Concentrations
Retain all allocated substances after active substance allocation true Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Concentrations
Account for substance authorisations in substance conversions false Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Concentrations
Fix duplicate substance allocation inconsistencies false Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Concentrations
Use extrapolation rules false Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Concentrations
Impute water concentrations true Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Concentrations
Water concentration value (µg/kg) 0.1 Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Concentrations
Restrict water imputation to the five most toxic substances true Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Concentrations
Restrict water imputation to authorised uses false Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Concentrations
Restrict water imputation to approved substances true Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Concentrations
Default concentration model Empirical Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Concentration models
Include MRL fallback model false Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Concentration models
Restrict LOR imputation to authorised uses false Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Concentration models
Censored values replacement ReplaceByLOR Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) 0.5 Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Concentration models
Sample based true Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) true Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Concentration models
Correlate imputed values with sample potency true Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Concentration models
Use occurrence frequencies for imputation true Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Concentration models
Parametric uncertainty false Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Concentration models
Apply occurrence pattern percentages false Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Occurrence patterns

Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I

Table 129 Tier definition for Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I.
Name Setting From input tier In module
Exposure type Chronic
Total diet study concentration data false
Multiple substances analysis true
Compute cumulative exposures true
Sample based true
Consumptions on the same day come from the same sample false
Apply processing factors true
Use distribution false
Ignore processing factors less than 1 false
Use unit variability 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
Ignore sampling weights true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Consumptions
Exclude individuals with less than N days true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Consumptions
N (number of days in survey) 2 Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Consumptions
Use substance conversion rules true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Concentrations
Substance conversion method UseMostToxic Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Concentrations
Retain all allocated substances after active substance allocation true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Concentrations
Account for substance authorisations in substance conversions false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Concentrations
Fix duplicate substance allocation inconsistencies false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Concentrations
Use extrapolation rules false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Concentrations
Impute water concentrations true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Concentrations
Water concentration value (µg/kg) 0.1 Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Concentrations
Restrict water imputation to the five most toxic substances true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Concentrations
Restrict water imputation to authorised uses false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Concentrations
Restrict water imputation to approved substances true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Concentrations
Default concentration model Empirical Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Concentration models
Include MRL fallback model false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Concentration models
Restrict LOR imputation to authorised uses false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Concentration models
Censored values replacement ReplaceByLOR Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) 0.5 Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Concentration models
Sample based true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Concentration models
Correlate imputed values with sample potency true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Concentration models
Use occurrence frequencies for imputation true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Concentration models
Parametric uncertainty false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Concentration models
Apply occurrence pattern percentages false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Occurrence patterns

Retrospective dietary CRA (EFSA 2022) - Acute / Tier II

Table 130 Tier definition for Retrospective dietary CRA (EFSA 2022) - Acute / Tier II.
Name Setting From input tier In module
Exposure type Acute
Total diet study concentration data false
Multiple substances analysis true
Compute cumulative exposures true
Sample based true
Consumptions on the same day come from the same sample false
Apply processing factors true
Use distribution false
Ignore processing factors less than 1 false
Use unit variability 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
Ignore sampling weights true Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Consumptions
Exclude individuals with less than N days false Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Consumptions
N (number of days in survey) 2 Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Consumptions
Use substance conversion rules true Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Concentrations
Substance conversion method DrawRandom Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Concentrations
Retain all allocated substances after active substance allocation true Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Concentrations
Account for substance authorisations in substance conversions true Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Concentrations
Fix duplicate substance allocation inconsistencies false Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Concentrations
Use extrapolation rules false Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Concentrations
Impute water concentrations true Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Concentrations
Water concentration value (µg/kg) 0.05 Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Concentrations
Restrict water imputation to the five most toxic substances true Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Concentrations
Restrict water imputation to authorised uses false Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Concentrations
Restrict water imputation to approved substances true Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Concentrations
Default concentration model Empirical Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Concentration models
Include MRL fallback model false Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Concentration models
Restrict LOR imputation to authorised uses false Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Concentration models
Censored values replacement ReplaceByLOR Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) 0.5 Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Concentration models
Sample based true Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) true Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Concentration models
Correlate imputed values with sample potency false Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Concentration models
Use occurrence frequencies for imputation true Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Concentration models
Parametric uncertainty false Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Concentration models
Apply occurrence pattern percentages true Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Occurrence patterns
Scale up use frequency to 100% true Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Occurrence patterns
Restrict use percentage up-scaling to authorised uses true Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Occurrence patterns

Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II

Table 131 Tier definition for Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II.
Name Setting From input tier In module
Exposure type Chronic
Total diet study concentration data false
Multiple substances analysis true
Compute cumulative exposures true
Sample based true
Consumptions on the same day come from the same sample false
Apply processing factors true
Use distribution false
Ignore processing factors less than 1 false
Use unit variability 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
Ignore sampling weights true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Consumptions
Exclude individuals with less than N days true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Consumptions
N (number of days in survey) 2 Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Consumptions
Use substance conversion rules true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Concentrations
Substance conversion method DrawRandom Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Concentrations
Retain all allocated substances after active substance allocation true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Concentrations
Account for substance authorisations in substance conversions true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Concentrations
Fix duplicate substance allocation inconsistencies false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Concentrations
Use extrapolation rules false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Concentrations
Impute water concentrations true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Concentrations
Water concentration value (µg/kg) 0.05 Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Concentrations
Restrict water imputation to the five most toxic substances true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Concentrations
Restrict water imputation to authorised uses false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Concentrations
Restrict water imputation to approved substances true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Concentrations
Default concentration model Empirical Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Concentration models
Include MRL fallback model false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Concentration models
Restrict LOR imputation to authorised uses false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Concentration models
Censored values replacement ReplaceByLOR Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) 0.5 Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Concentration models
Sample based true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Concentration models
Correlate imputed values with sample potency false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Concentration models
Use occurrence frequencies for imputation true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Concentration models
Parametric uncertainty false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Concentration models
Apply occurrence pattern percentages true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Occurrence patterns
Scale up use frequency to 100% true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Occurrence patterns
Restrict use percentage up-scaling to authorised uses true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Occurrence patterns