Single value risks tiers

Overview

Table 371 Tier overview for module Single value risks.
Name EC 2018 Acute Tier I EC 2018 Chronic - Tier I EC 2018 Acute Tier II EC 2018 Chronic Tier II EFSA 2022 Acute Tier I EFSA 2022 Chronic Tier I EFSA 2022 Acute Tier II EFSA 2022 Chronic Tier II EFSA 2023 Acute Prospective Tier II EFSA 2023 Chronic Prospective Tier II

Single value risk calculation method

FromIndividualRisks

FromIndividualRisks

FromIndividualRisks

FromIndividualRisks

FromIndividualRisks

FromIndividualRisks

FromIndividualRisks

FromIndividualRisks

FromIndividualRisks

FromIndividualRisks

Percentage for percentile

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

Ignore sampling weights

true

true

true

true

true

true

true

true

true

true

Exclude individuals with less than N days

false

true

false

true

false

true

false

true

false

true

Total diet study concentration data

false

false

false

false

false

false

false

false

false

false

Filter samples exceeding the concentration limits

false

false

false

false

false

false

false

false

true

true

Use substance conversion rules

true

true

true

true

true

true

true

true

true

true

Substance conversion method

UseMostToxic

UseMostToxic

DrawRandom

DrawRandom

UseMostToxic

UseMostToxic

DrawRandom

DrawRandom

DrawRandom

DrawRandom

Retain all allocated substances after active substance allocation

true

true

true

true

true

true

true

true

true

true

Account for substance authorisations in substance conversions

false

false

true

true

false

false

true

true

true

true

Fix duplicate substance allocation inconsistencies

false

false

false

false

false

false

false

false

false

false

Use extrapolation rules

true

true

true

true

false

false

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

true

true

Water concentration value (µg/kg)

0.1

0.1

0.05

0.05

0.1

0.1

0.05

0.05

0.05

0.05

Restrict water imputation to the five most toxic substances

true

true

true

true

true

true

true

true

true

true

Restrict water imputation to authorised uses

false

false

false

false

false

false

false

false

false

false

Restrict water imputation to approved substances

false

false

false

false

true

true

true

true

true

true

Apply processing factors

true

true

true

true

true

true

true

true

true

true

Use distribution

false

false

false

false

false

false

false

false

false

false

Ignore processing factors less than 1

false

false

false

false

false

false

false

false

false

false

Unit variability model

BetaDistribution

BetaDistribution

BetaDistribution

BetaDistribution

BetaDistribution

Estimates nature

Realistic

Realistic

Realistic

Realistic

Realistic

Unit variability parameter

VariabilityFactor

VariabilityFactor

VariabilityFactor

VariabilityFactor

VariabilityFactor

Apply occurrence pattern percentages

false

false

true

true

false

false

true

true

true

true

Target level

External

External

External

External

External

External

External

External

External

External

Compute cumulative risks

true

true

true

true

true

true

true

true

true

true

Health effect type

Risk

Risk

Risk

Risk

Risk

Risk

Risk

Risk

Risk

Risk

Risk characterisation ratio

HazardExposureRatio

HazardExposureRatio

HazardExposureRatio

HazardExposureRatio

HazardExposureRatio

HazardExposureRatio

HazardExposureRatio

HazardExposureRatio

HazardExposureRatio

HazardExposureRatio

Risk threshold

100

100

100

100

100

100

100

100

100

100

Use inverse distribution to calculate percentile

true

true

true

true

true

true

true

true

true

true

Exposure calculation method

ModelledConcentration

ModelledConcentration

ModelledConcentration

ModelledConcentration

ModelledConcentration

ModelledConcentration

ModelledConcentration

ModelledConcentration

ModelledConcentration

ModelledConcentration

Inclusion percentage variability interval

99.8

99.8

99.8

99.8

99.8

99.8

99.8

99.8

99.8

99.8

Consumptions on the same day come from the same sample

false

false

false

false

false

false

false

false

false

false

Use unit variability

true

true

true

true

true

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

Iterate survey

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

Default concentration model

Empirical

Empirical

Empirical

Empirical

Empirical

Empirical

Empirical

Empirical

Empirical

Empirical

Include MRL fallback model

false

false

false

false

false

false

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

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

0.5

0.5

0.5

0.5

0.5

0.5

Sample based

true

true

true

true

true

true

true

true

true

true

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

true

true

true

true

true

true

true

true

true

true

Correlate imputed values with sample potency

true

true

false

false

true

true

false

false

false

false

Use occurrence frequencies for imputation

true

true

true

true

true

true

true

true

true

true

Parametric uncertainty

false

false

false

false

false

false

false

false

false

false

N (number of days in survey)

2

2

2

2

2

Model type

OIM

OIM

OIM

OIM

OIM

Scale up use frequency to 100%

true

true

true

true

true

true

Restrict use percentage up-scaling to authorised uses

true

true

true

true

true

true

Concentration limit filter exceedance factor

2

2

Include focal commodity concentrations

true

true

Focal commodity substance occurrence percentage

20

20

Adjustment factor for the focal food/substance concentration

1

1

Use deterministic substance conversions for focal commodity

true

true

Cumulation setting

RPFWeighted

RPFWeighted

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

Table 372 Tier definition for Retrospective dietary CRA (EC 2018) - Acute / Tier I.
Name Setting From input tier In module
Single value risk calculation method FromIndividualRisks
Percentage for percentile 0.1
Ignore sampling weights true Retrospective dietary CRA (EC 2018) - Acute / Tier I Consumptions
Exclude individuals with less than N days false Retrospective dietary CRA (EC 2018) - Acute / Tier I Consumptions
Total diet study concentration data false Retrospective dietary CRA (EC 2018) - Acute / Tier I Food conversions
Filter samples exceeding the concentration limits false Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentrations
Use substance conversion rules true Retrospective dietary CRA (EC 2018) - Acute / Tier I Concentrations
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
Apply processing factors true Retrospective dietary CRA (EC 2018) - Acute / Tier I Processing factors
Use distribution false Retrospective dietary CRA (EC 2018) - Acute / Tier I Processing factors
Ignore processing factors less than 1 false Retrospective dietary CRA (EC 2018) - Acute / Tier I Processing factors
Unit variability model BetaDistribution Retrospective dietary CRA (EC 2018) - Acute / Tier I Unit variability factors
Estimates nature Realistic Retrospective dietary CRA (EC 2018) - Acute / Tier I Unit variability factors
Unit variability parameter VariabilityFactor Retrospective dietary CRA (EC 2018) - Acute / Tier I Unit variability factors
Apply occurrence pattern percentages false Retrospective dietary CRA (EC 2018) - Acute / Tier I Occurrence patterns
Target level External Retrospective dietary CRA (EC 2018) - Acute / Tier I Hazard characterisations
Compute cumulative risks true Retrospective dietary CRA (EC 2018) - Acute / Tier I Risks
Health effect type Risk Retrospective dietary CRA (EC 2018) - Acute / Tier I Risks
Risk characterisation ratio HazardExposureRatio Retrospective dietary CRA (EC 2018) - Acute / Tier I Risks
Risk threshold 100 Retrospective dietary CRA (EC 2018) - Acute / Tier I Risks
Use inverse distribution to calculate percentile true Retrospective dietary CRA (EC 2018) - Acute / Tier I Risks
Exposure calculation method ModelledConcentration Retrospective dietary CRA (EC 2018) - Acute / Tier I Risks
Inclusion percentage variability interval 99.8 Retrospective dietary CRA (EC 2018) - Acute / Tier I Risks
Consumptions on the same day come from the same sample false Retrospective dietary CRA (EC 2018) - Acute / Tier I Dietary exposures
Use unit variability true Retrospective dietary CRA (EC 2018) - Acute / Tier I Dietary exposures
Model-then-add false Retrospective dietary CRA (EC 2018) - Acute / Tier I Dietary exposures
Covariate modelling false Retrospective dietary CRA (EC 2018) - Acute / Tier I Dietary exposures
Iterate survey false Retrospective dietary CRA (EC 2018) - Acute / Tier I Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight false Retrospective dietary CRA (EC 2018) - Acute / Tier I Dietary exposures
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

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

Table 373 Tier definition for Retrospective dietary CRA (EC 2018) - Chronic / Tier I.
Name Setting From input tier In module
Single value risk calculation method FromIndividualRisks
Percentage for percentile 0.1
Ignore sampling weights true Retrospective dietary CRA (EC 2018) - Chronic / Tier I Consumptions
Exclude individuals with less than N days true Retrospective dietary CRA (EC 2018) - Chronic / Tier I Consumptions
N (number of days in survey) 2 Retrospective dietary CRA (EC 2018) - Chronic / Tier I Consumptions
Total diet study concentration data false Retrospective dietary CRA (EC 2018) - Chronic / Tier I Food conversions
Filter samples exceeding the concentration limits false Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentrations
Use substance conversion rules true Retrospective dietary CRA (EC 2018) - Chronic / Tier I Concentrations
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
Apply processing factors true Retrospective dietary CRA (EC 2018) - Chronic / Tier I Processing factors
Use distribution false Retrospective dietary CRA (EC 2018) - Chronic / Tier I Processing factors
Ignore processing factors less than 1 false Retrospective dietary CRA (EC 2018) - Chronic / Tier I Processing factors
Apply occurrence pattern percentages false Retrospective dietary CRA (EC 2018) - Chronic / Tier I Occurrence patterns
Target level External Retrospective dietary CRA (EC 2018) - Chronic / Tier I Hazard characterisations
Compute cumulative risks true Retrospective dietary CRA (EC 2018) - Chronic / Tier I Risks
Health effect type Risk Retrospective dietary CRA (EC 2018) - Chronic / Tier I Risks
Risk characterisation ratio HazardExposureRatio Retrospective dietary CRA (EC 2018) - Chronic / Tier I Risks
Risk threshold 100 Retrospective dietary CRA (EC 2018) - Chronic / Tier I Risks
Use inverse distribution to calculate percentile true Retrospective dietary CRA (EC 2018) - Chronic / Tier I Risks
Exposure calculation method ModelledConcentration Retrospective dietary CRA (EC 2018) - Chronic / Tier I Risks
Inclusion percentage variability interval 99.8 Retrospective dietary CRA (EC 2018) - Chronic / Tier I Risks
Consumptions on the same day come from the same sample false Retrospective dietary CRA (EC 2018) - Chronic / Tier I Dietary exposures
Model type OIM Retrospective dietary CRA (EC 2018) - Chronic / Tier I Dietary exposures
Model-then-add false Retrospective dietary CRA (EC 2018) - Chronic / Tier I Dietary exposures
Covariate modelling false Retrospective dietary CRA (EC 2018) - Chronic / Tier I Dietary exposures
Iterate survey false Retrospective dietary CRA (EC 2018) - Chronic / Tier I Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight false Retrospective dietary CRA (EC 2018) - Chronic / Tier I Dietary exposures
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

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

Table 374 Tier definition for Retrospective dietary CRA (EC 2018) - Acute / Tier II.
Name Setting From input tier In module
Single value risk calculation method FromIndividualRisks
Percentage for percentile 0.1
Ignore sampling weights true Retrospective dietary CRA (EC 2018) - Acute / Tier II Consumptions
Exclude individuals with less than N days false Retrospective dietary CRA (EC 2018) - Acute / Tier II Consumptions
Total diet study concentration data false Retrospective dietary CRA (EC 2018) - Acute / Tier II Food conversions
Filter samples exceeding the concentration limits false Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentrations
Use substance conversion rules true Retrospective dietary CRA (EC 2018) - Acute / Tier II Concentrations
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
Apply processing factors true Retrospective dietary CRA (EC 2018) - Acute / Tier II Processing factors
Use distribution false Retrospective dietary CRA (EC 2018) - Acute / Tier II Processing factors
Ignore processing factors less than 1 false Retrospective dietary CRA (EC 2018) - Acute / Tier II Processing factors
Unit variability model BetaDistribution Retrospective dietary CRA (EC 2018) - Acute / Tier II Unit variability factors
Estimates nature Realistic Retrospective dietary CRA (EC 2018) - Acute / Tier II Unit variability factors
Unit variability parameter VariabilityFactor Retrospective dietary CRA (EC 2018) - Acute / Tier II Unit variability factors
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
Target level External Retrospective dietary CRA (EC 2018) - Acute / Tier II Hazard characterisations
Compute cumulative risks true Retrospective dietary CRA (EC 2018) - Acute / Tier II Risks
Health effect type Risk Retrospective dietary CRA (EC 2018) - Acute / Tier II Risks
Risk characterisation ratio HazardExposureRatio Retrospective dietary CRA (EC 2018) - Acute / Tier II Risks
Risk threshold 100 Retrospective dietary CRA (EC 2018) - Acute / Tier II Risks
Use inverse distribution to calculate percentile true Retrospective dietary CRA (EC 2018) - Acute / Tier II Risks
Exposure calculation method ModelledConcentration Retrospective dietary CRA (EC 2018) - Acute / Tier II Risks
Inclusion percentage variability interval 99.8 Retrospective dietary CRA (EC 2018) - Acute / Tier II Risks
Consumptions on the same day come from the same sample false Retrospective dietary CRA (EC 2018) - Acute / Tier II Dietary exposures
Use unit variability true Retrospective dietary CRA (EC 2018) - Acute / Tier II Dietary exposures
Model-then-add false Retrospective dietary CRA (EC 2018) - Acute / Tier II Dietary exposures
Covariate modelling false Retrospective dietary CRA (EC 2018) - Acute / Tier II Dietary exposures
Iterate survey false Retrospective dietary CRA (EC 2018) - Acute / Tier II Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight false Retrospective dietary CRA (EC 2018) - Acute / Tier II Dietary exposures
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

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

Table 375 Tier definition for Retrospective dietary CRA (EC 2018) - Chronic / Tier II.
Name Setting From input tier In module
Single value risk calculation method FromIndividualRisks
Percentage for percentile 0.1
Ignore sampling weights true Retrospective dietary CRA (EC 2018) - Chronic / Tier II Consumptions
Exclude individuals with less than N days true Retrospective dietary CRA (EC 2018) - Chronic / Tier II Consumptions
N (number of days in survey) 2 Retrospective dietary CRA (EC 2018) - Chronic / Tier II Consumptions
Total diet study concentration data false Retrospective dietary CRA (EC 2018) - Chronic / Tier II Food conversions
Filter samples exceeding the concentration limits false Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentrations
Use substance conversion rules true Retrospective dietary CRA (EC 2018) - Chronic / Tier II Concentrations
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
Apply processing factors true Retrospective dietary CRA (EC 2018) - Chronic / Tier II Processing factors
Use distribution false Retrospective dietary CRA (EC 2018) - Chronic / Tier II Processing factors
Ignore processing factors less than 1 false Retrospective dietary CRA (EC 2018) - Chronic / Tier II Processing factors
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
Target level External Retrospective dietary CRA (EC 2018) - Chronic / Tier II Hazard characterisations
Compute cumulative risks true Retrospective dietary CRA (EC 2018) - Chronic / Tier II Risks
Health effect type Risk Retrospective dietary CRA (EC 2018) - Chronic / Tier II Risks
Risk characterisation ratio HazardExposureRatio Retrospective dietary CRA (EC 2018) - Chronic / Tier II Risks
Risk threshold 100 Retrospective dietary CRA (EC 2018) - Chronic / Tier II Risks
Use inverse distribution to calculate percentile true Retrospective dietary CRA (EC 2018) - Chronic / Tier II Risks
Exposure calculation method ModelledConcentration Retrospective dietary CRA (EC 2018) - Chronic / Tier II Risks
Inclusion percentage variability interval 99.8 Retrospective dietary CRA (EC 2018) - Chronic / Tier II Risks
Consumptions on the same day come from the same sample false Retrospective dietary CRA (EC 2018) - Chronic / Tier II Dietary exposures
Model type OIM Retrospective dietary CRA (EC 2018) - Chronic / Tier II Dietary exposures
Model-then-add false Retrospective dietary CRA (EC 2018) - Chronic / Tier II Dietary exposures
Covariate modelling false Retrospective dietary CRA (EC 2018) - Chronic / Tier II Dietary exposures
Iterate survey false Retrospective dietary CRA (EC 2018) - Chronic / Tier II Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight false Retrospective dietary CRA (EC 2018) - Chronic / Tier II Dietary exposures
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

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

Table 376 Tier definition for Retrospective dietary CRA (EFSA 2022) - Acute / Tier I.
Name Setting From input tier In module
Single value risk calculation method FromIndividualRisks
Percentage for percentile 0.1
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
Total diet study concentration data false Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Food conversions
Filter samples exceeding the concentration limits false Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Concentrations
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
Apply processing factors true Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Processing factors
Use distribution false Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Processing factors
Ignore processing factors less than 1 false Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Processing factors
Unit variability model BetaDistribution Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Unit variability factors
Estimates nature Realistic Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Unit variability factors
Unit variability parameter VariabilityFactor Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Unit variability factors
Apply occurrence pattern percentages false Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Occurrence patterns
Target level External Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Hazard characterisations
Compute cumulative risks true Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Risks
Health effect type Risk Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Risks
Risk characterisation ratio HazardExposureRatio Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Risks
Risk threshold 100 Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Risks
Use inverse distribution to calculate percentile true Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Risks
Exposure calculation method ModelledConcentration Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Risks
Inclusion percentage variability interval 99.8 Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Risks
Consumptions on the same day come from the same sample false Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Dietary exposures
Use unit variability true Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Dietary exposures
Model-then-add false Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Dietary exposures
Covariate modelling false Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Dietary exposures
Iterate survey false Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight false Retrospective dietary CRA (EFSA 2022) - Acute / Tier I Dietary exposures
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

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

Table 377 Tier definition for Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I.
Name Setting From input tier In module
Single value risk calculation method FromIndividualRisks
Percentage for percentile 0.1
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
Total diet study concentration data false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Food conversions
Filter samples exceeding the concentration limits false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Concentrations
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
Apply processing factors true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Processing factors
Use distribution false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Processing factors
Ignore processing factors less than 1 false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Processing factors
Apply occurrence pattern percentages false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Occurrence patterns
Target level External Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Hazard characterisations
Compute cumulative risks true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Risks
Health effect type Risk Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Risks
Risk characterisation ratio HazardExposureRatio Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Risks
Risk threshold 100 Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Risks
Use inverse distribution to calculate percentile true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Risks
Exposure calculation method ModelledConcentration Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Risks
Inclusion percentage variability interval 99.8 Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Risks
Consumptions on the same day come from the same sample false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Dietary exposures
Model type OIM Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Dietary exposures
Model-then-add false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Dietary exposures
Covariate modelling false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Dietary exposures
Iterate survey false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I Dietary exposures
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

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

Table 378 Tier definition for Retrospective dietary CRA (EFSA 2022) - Acute / Tier II.
Name Setting From input tier In module
Single value risk calculation method FromIndividualRisks
Percentage for percentile 0.1
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
Total diet study concentration data false Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Food conversions
Filter samples exceeding the concentration limits false Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Concentrations
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
Apply processing factors true Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Processing factors
Use distribution false Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Processing factors
Ignore processing factors less than 1 false Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Processing factors
Unit variability model BetaDistribution Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Unit variability factors
Estimates nature Realistic Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Unit variability factors
Unit variability parameter VariabilityFactor Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Unit variability factors
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
Target level External Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Hazard characterisations
Compute cumulative risks true Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Risks
Health effect type Risk Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Risks
Risk characterisation ratio HazardExposureRatio Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Risks
Risk threshold 100 Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Risks
Use inverse distribution to calculate percentile true Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Risks
Exposure calculation method ModelledConcentration Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Risks
Inclusion percentage variability interval 99.8 Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Risks
Consumptions on the same day come from the same sample false Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Dietary exposures
Use unit variability true Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Dietary exposures
Model-then-add false Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Dietary exposures
Covariate modelling false Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Dietary exposures
Iterate survey false Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight false Retrospective dietary CRA (EFSA 2022) - Acute / Tier II Dietary exposures
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

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

Table 379 Tier definition for Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II.
Name Setting From input tier In module
Single value risk calculation method FromIndividualRisks
Percentage for percentile 0.1
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
Total diet study concentration data false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Food conversions
Filter samples exceeding the concentration limits false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Concentrations
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
Apply processing factors true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Processing factors
Use distribution false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Processing factors
Ignore processing factors less than 1 false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Processing factors
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
Target level External Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Hazard characterisations
Compute cumulative risks true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Risks
Health effect type Risk Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Risks
Risk characterisation ratio HazardExposureRatio Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Risks
Risk threshold 100 Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Risks
Use inverse distribution to calculate percentile true Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Risks
Exposure calculation method ModelledConcentration Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Risks
Inclusion percentage variability interval 99.8 Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Risks
Consumptions on the same day come from the same sample false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Dietary exposures
Model type OIM Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Dietary exposures
Model-then-add false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Dietary exposures
Covariate modelling false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Dietary exposures
Iterate survey false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight false Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II Dietary exposures
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

Prospective dietary CRA (EFSA 2023) - Acute / Tier II

Table 380 Tier definition for Prospective dietary CRA (EFSA 2023) - Acute / Tier II.
Name Setting From input tier In module
Single value risk calculation method FromIndividualRisks
Percentage for percentile 0.1
Ignore sampling weights true Prospective dietary CRA (EFSA 2023) - Acute / Tier II Consumptions
Exclude individuals with less than N days false Prospective dietary CRA (EFSA 2023) - Acute / Tier II Consumptions
Total diet study concentration data false Prospective dietary CRA (EFSA 2023) - Acute / Tier II Food conversions
Filter samples exceeding the concentration limits true Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentrations
Concentration limit filter exceedance factor 2 Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentrations
Use substance conversion rules true Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentrations
Substance conversion method DrawRandom Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentrations
Retain all allocated substances after active substance allocation true Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentrations
Account for substance authorisations in substance conversions true Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentrations
Fix duplicate substance allocation inconsistencies false Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentrations
Use extrapolation rules false Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentrations
Impute water concentrations true Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentrations
Water concentration value (µg/kg) 0.05 Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentrations
Restrict water imputation to the five most toxic substances true Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentrations
Restrict water imputation to authorised uses false Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentrations
Restrict water imputation to approved substances true Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentrations
Include focal commodity concentrations true Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentrations
Focal commodity substance occurrence percentage 20 Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentrations
Adjustment factor for the focal food/substance concentration 1 Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentrations
Use deterministic substance conversions for focal commodity true Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentrations
Apply processing factors true Prospective dietary CRA (EFSA 2023) - Acute / Tier II Processing factors
Use distribution false Prospective dietary CRA (EFSA 2023) - Acute / Tier II Processing factors
Ignore processing factors less than 1 false Prospective dietary CRA (EFSA 2023) - Acute / Tier II Processing factors
Unit variability model BetaDistribution Prospective dietary CRA (EFSA 2023) - Acute / Tier II Unit variability factors
Estimates nature Realistic Prospective dietary CRA (EFSA 2023) - Acute / Tier II Unit variability factors
Unit variability parameter VariabilityFactor Prospective dietary CRA (EFSA 2023) - Acute / Tier II Unit variability factors
Apply occurrence pattern percentages true Prospective dietary CRA (EFSA 2023) - Acute / Tier II Occurrence patterns
Scale up use frequency to 100% true Prospective dietary CRA (EFSA 2023) - Acute / Tier II Occurrence patterns
Restrict use percentage up-scaling to authorised uses true Prospective dietary CRA (EFSA 2023) - Acute / Tier II Occurrence patterns
Target level External Prospective dietary CRA (EFSA 2023) - Acute / Tier II Hazard characterisations
Compute cumulative risks true Prospective dietary CRA (EFSA 2023) - Acute / Tier II Risks
Health effect type Risk Prospective dietary CRA (EFSA 2023) - Acute / Tier II Risks
Risk characterisation ratio HazardExposureRatio Prospective dietary CRA (EFSA 2023) - Acute / Tier II Risks
Risk threshold 100 Prospective dietary CRA (EFSA 2023) - Acute / Tier II Risks
Use inverse distribution to calculate percentile true Prospective dietary CRA (EFSA 2023) - Acute / Tier II Risks
Exposure calculation method ModelledConcentration Prospective dietary CRA (EFSA 2023) - Acute / Tier II Risks
Cumulation setting RPFWeighted Prospective dietary CRA (EFSA 2023) - Acute / Tier II Risks
Inclusion percentage variability interval 99.8 Prospective dietary CRA (EFSA 2023) - Acute / Tier II Risks
Consumptions on the same day come from the same sample false Prospective dietary CRA (EFSA 2023) - Acute / Tier II Dietary exposures
Use unit variability true Prospective dietary CRA (EFSA 2023) - Acute / Tier II Dietary exposures
Model-then-add false Prospective dietary CRA (EFSA 2023) - Acute / Tier II Dietary exposures
Covariate modelling false Prospective dietary CRA (EFSA 2023) - Acute / Tier II Dietary exposures
Iterate survey false Prospective dietary CRA (EFSA 2023) - Acute / Tier II Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight false Prospective dietary CRA (EFSA 2023) - Acute / Tier II Dietary exposures
Default concentration model Empirical Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentration models
Include MRL fallback model false Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentration models
Restrict LOR imputation to authorised uses false Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentration models
Censored values replacement ReplaceByLOR Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) 0.5 Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentration models
Sample based true Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) true Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentration models
Correlate imputed values with sample potency false Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentration models
Use occurrence frequencies for imputation true Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentration models
Parametric uncertainty false Prospective dietary CRA (EFSA 2023) - Acute / Tier II Concentration models

Prospective dietary CRA (EFSA 2023) - Chronic / Tier II

Table 381 Tier definition for Prospective dietary CRA (EFSA 2023) - Chronic / Tier II.
Name Setting From input tier In module
Single value risk calculation method FromIndividualRisks
Percentage for percentile 0.1
Ignore sampling weights true Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Consumptions
Exclude individuals with less than N days true Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Consumptions
N (number of days in survey) 2 Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Consumptions
Total diet study concentration data false Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Food conversions
Filter samples exceeding the concentration limits true Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentrations
Concentration limit filter exceedance factor 2 Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentrations
Use substance conversion rules true Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentrations
Substance conversion method DrawRandom Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentrations
Retain all allocated substances after active substance allocation true Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentrations
Account for substance authorisations in substance conversions true Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentrations
Fix duplicate substance allocation inconsistencies false Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentrations
Use extrapolation rules false Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentrations
Impute water concentrations true Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentrations
Water concentration value (µg/kg) 0.05 Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentrations
Restrict water imputation to the five most toxic substances true Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentrations
Restrict water imputation to authorised uses false Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentrations
Restrict water imputation to approved substances true Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentrations
Include focal commodity concentrations true Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentrations
Focal commodity substance occurrence percentage 20 Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentrations
Adjustment factor for the focal food/substance concentration 1 Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentrations
Use deterministic substance conversions for focal commodity true Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentrations
Apply processing factors true Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Processing factors
Use distribution false Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Processing factors
Ignore processing factors less than 1 false Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Processing factors
Apply occurrence pattern percentages true Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Occurrence patterns
Scale up use frequency to 100% true Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Occurrence patterns
Restrict use percentage up-scaling to authorised uses true Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Occurrence patterns
Target level External Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Hazard characterisations
Compute cumulative risks true Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Risks
Health effect type Risk Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Risks
Risk characterisation ratio HazardExposureRatio Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Risks
Risk threshold 100 Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Risks
Use inverse distribution to calculate percentile true Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Risks
Exposure calculation method ModelledConcentration Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Risks
Cumulation setting RPFWeighted Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Risks
Inclusion percentage variability interval 99.8 Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Risks
Consumptions on the same day come from the same sample false Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Dietary exposures
Model type OIM Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Dietary exposures
Model-then-add false Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Dietary exposures
Covariate modelling false Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Dietary exposures
Iterate survey false Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight false Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Dietary exposures
Default concentration model Empirical Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentration models
Include MRL fallback model false Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentration models
Restrict LOR imputation to authorised uses false Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentration models
Censored values replacement ReplaceByLOR Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) 0.5 Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentration models
Sample based true Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) true Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentration models
Correlate imputed values with sample potency false Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentration models
Use occurrence frequencies for imputation true Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentration models
Parametric uncertainty false Prospective dietary CRA (EFSA 2023) - Chronic / Tier II Concentration models