Risks tiers

Overview

Table 224 Tier overview for module Risks.
Name EC 2018 Tier I EC 2018 Tier II EFSA 2022 Tier I EFSA 2022 Tier II

Multiple substances analysis

true

true

true

true

Compute cumulative risks

true

true

true

true

Health effect type

Risk

Risk

Risk

Risk

Risk metric type

MarginOfExposure

MarginOfExposure

MarginOfExposure

MarginOfExposure

Threshold safety plot

100

100

100

100

Use inverse distribution to calculate percentile

true

true

true

true

Target level

External

External

External

External

Left margin safety plot

0.1

0.1

0.1

0.1

Right margin safety plot

10000000

10000000

10000000

10000000

Inclusion percentage variability interval

99.8

99.8

99.8

99.8

Total diet study concentration data

false

false

false

false

Compute cumulative exposures

true

true

true

true

Sample based

true

true

true

true

Consumptions on the same day come from the same sample

false

false

false

false

Apply processing factors

true

true

true

true

Use distribution

false

false

false

false

Ignore processing factors less than 1

false

false

false

false

Use unit variability

true

true

true

true

Unit variability model

BetaDistribution

BetaDistribution

BetaDistribution

BetaDistribution

Estimates nature

Realistic

Realistic

Realistic

Realistic

Unit variability parameter

VariabilityFactor

VariabilityFactor

VariabilityFactor

VariabilityFactor

Model type

OIM

OIM

OIM

OIM

Model-then-add

false

false

false

false

Covariate modelling

false

false

false

false

Iterate survey

false

false

false

false

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

false

false

false

false

Default concentration model

Empirical

Empirical

Empirical

Empirical

Include MRL fallback model

false

false

false

false

Restrict LOR imputation to authorised uses

false

false

false

false

Censored values replacement

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

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

true

true

true

true

Correlate imputed values with sample potency

true

false

true

false

Use occurrence frequencies for imputation

true

true

true

true

Parametric uncertainty

false

false

false

false

Apply occurrence pattern percentages

false

true

false

true

Substance conversion method

UseMostToxic

DrawRandom

UseMostToxic

DrawRandom

Retain all allocated substances after active substance allocation

true

true

true

true

Account for substance authorisations in substance conversions

false

true

false

true

Fix duplicate substance allocation inconsistencies

false

false

false

false

Use extrapolation rules

true

true

false

false

Threshold for extrapolation

10

10

Restrict extrapolations to equal MRLs

true

true

Restrict extrapolations to authorised uses

true

true

Impute water concentrations

true

true

true

true

Water concentration value (µg/kg)

0.1

0.05

0.1

0.05

Restrict water imputation to the five most toxic substances

true

true

true

true

Restrict water imputation to authorised uses

false

false

false

false

Restrict water imputation to approved substances

false

false

true

true

Number of plot labels

20

Number of substances in hazard vs. exposure plot

20

Scale up use frequency to 100%

true

true

Restrict use percentage up-scaling to authorised uses

true

true

Use substance conversion rules

true

true

Ignore sampling weights

true

true

N (number of days in survey)

2

2

EC 2018 Dietary CRA Tier I

Table 225 Tier definition for EC 2018 Dietary CRA Tier I.
Name Setting From input tier In module
Multiple substances analysis true
Compute cumulative risks true
Health effect type Risk
Risk metric type MarginOfExposure
Threshold safety plot 100
Use inverse distribution to calculate percentile true
Target level External
Left margin safety plot 0.1
Right margin safety plot 10000000
Inclusion percentage variability interval 99.8
Total diet study concentration data false EC 2018 Dietary CRA Tier I Dietary exposures
Multiple substances analysis true EC 2018 Dietary CRA Tier I Dietary exposures
Compute cumulative exposures true EC 2018 Dietary CRA Tier I Dietary exposures
Sample based true EC 2018 Dietary CRA Tier I Dietary exposures
Consumptions on the same day come from the same sample false EC 2018 Dietary CRA Tier I Dietary exposures
Apply processing factors true EC 2018 Dietary CRA Tier I Dietary exposures
Use distribution false EC 2018 Dietary CRA Tier I Dietary exposures
Ignore processing factors less than 1 false EC 2018 Dietary CRA Tier I Dietary exposures
Use unit variability true EC 2018 Dietary CRA Tier I Dietary exposures
Unit variability model BetaDistribution EC 2018 Dietary CRA Tier I Dietary exposures
Estimates nature Realistic EC 2018 Dietary CRA Tier I Dietary exposures
Unit variability parameter VariabilityFactor EC 2018 Dietary CRA Tier I Dietary exposures
Model type OIM EC 2018 Dietary CRA Tier I Dietary exposures
Model-then-add false EC 2018 Dietary CRA Tier I Dietary exposures
Covariate modelling false EC 2018 Dietary CRA Tier I Dietary exposures
Iterate survey false EC 2018 Dietary CRA Tier I Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight false EC 2018 Dietary CRA Tier I Dietary exposures
Default concentration model Empirical EC 2018 Dietary CRA Tier I Concentration models
Include MRL fallback model false EC 2018 Dietary CRA Tier I Concentration models
Restrict LOR imputation to authorised uses false EC 2018 Dietary CRA Tier I Concentration models
Censored values replacement ReplaceByLOR EC 2018 Dietary CRA Tier I Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) 0.5 EC 2018 Dietary CRA Tier I Concentration models
Sample based true EC 2018 Dietary CRA Tier I Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) true EC 2018 Dietary CRA Tier I Concentration models
Correlate imputed values with sample potency true EC 2018 Dietary CRA Tier I Concentration models
Use occurrence frequencies for imputation true EC 2018 Dietary CRA Tier I Concentration models
Parametric uncertainty false EC 2018 Dietary CRA Tier I Concentration models
Apply occurrence pattern percentages false EC 2018 Dietary CRA Tier I Occurrence patterns
Substance conversion method UseMostToxic EC 2018 Dietary CRA Tier I Concentrations
Retain all allocated substances after active substance allocation true EC 2018 Dietary CRA Tier I Concentrations
Account for substance authorisations in substance conversions false EC 2018 Dietary CRA Tier I Concentrations
Fix duplicate substance allocation inconsistencies false EC 2018 Dietary CRA Tier I Concentrations
Use extrapolation rules true EC 2018 Dietary CRA Tier I Concentrations
Threshold for extrapolation 10 EC 2018 Dietary CRA Tier I Concentrations
Restrict extrapolations to equal MRLs true EC 2018 Dietary CRA Tier I Concentrations
Restrict extrapolations to authorised uses true EC 2018 Dietary CRA Tier I Concentrations
Impute water concentrations true EC 2018 Dietary CRA Tier I Concentrations
Water concentration value (µg/kg) 0.1 EC 2018 Dietary CRA Tier I Concentrations
Restrict water imputation to the five most toxic substances true EC 2018 Dietary CRA Tier I Concentrations
Restrict water imputation to authorised uses false EC 2018 Dietary CRA Tier I Concentrations
Restrict water imputation to approved substances false EC 2018 Dietary CRA Tier I Concentrations

EC 2018 Dietary CRA Tier II

Table 226 Tier definition for EC 2018 Dietary CRA Tier II.
Name Setting From input tier In module
Multiple substances analysis true
Compute cumulative risks true
Health effect type Risk
Risk metric type MarginOfExposure
Threshold safety plot 100
Use inverse distribution to calculate percentile true
Target level External
Left margin safety plot 0.1
Right margin safety plot 10000000
Number of plot labels 20
Number of substances in hazard vs. exposure plot 20
Inclusion percentage variability interval 99.8
Total diet study concentration data false EC 2018 Dietary CRA Tier II Dietary exposures
Multiple substances analysis true EC 2018 Dietary CRA Tier II Dietary exposures
Compute cumulative exposures true EC 2018 Dietary CRA Tier II Dietary exposures
Sample based true EC 2018 Dietary CRA Tier II Dietary exposures
Consumptions on the same day come from the same sample false EC 2018 Dietary CRA Tier II Dietary exposures
Apply processing factors true EC 2018 Dietary CRA Tier II Dietary exposures
Use distribution false EC 2018 Dietary CRA Tier II Dietary exposures
Ignore processing factors less than 1 false EC 2018 Dietary CRA Tier II Dietary exposures
Use unit variability true EC 2018 Dietary CRA Tier II Dietary exposures
Unit variability model BetaDistribution EC 2018 Dietary CRA Tier II Dietary exposures
Estimates nature Realistic EC 2018 Dietary CRA Tier II Dietary exposures
Unit variability parameter VariabilityFactor EC 2018 Dietary CRA Tier II Dietary exposures
Model type OIM EC 2018 Dietary CRA Tier II Dietary exposures
Model-then-add false EC 2018 Dietary CRA Tier II Dietary exposures
Covariate modelling false EC 2018 Dietary CRA Tier II Dietary exposures
Iterate survey false EC 2018 Dietary CRA Tier II Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight false EC 2018 Dietary CRA Tier II Dietary exposures
Default concentration model Empirical EC 2018 Dietary CRA Tier II Concentration models
Include MRL fallback model false EC 2018 Dietary CRA Tier II Concentration models
Restrict LOR imputation to authorised uses false EC 2018 Dietary CRA Tier II Concentration models
Censored values replacement ReplaceByLOR EC 2018 Dietary CRA Tier II Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) 0.5 EC 2018 Dietary CRA Tier II Concentration models
Sample based true EC 2018 Dietary CRA Tier II Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) true EC 2018 Dietary CRA Tier II Concentration models
Correlate imputed values with sample potency false EC 2018 Dietary CRA Tier II Concentration models
Use occurrence frequencies for imputation true EC 2018 Dietary CRA Tier II Concentration models
Parametric uncertainty false EC 2018 Dietary CRA Tier II Concentration models
Apply occurrence pattern percentages true EC 2018 Dietary CRA Tier II Occurrence patterns
Scale up use frequency to 100% true EC 2018 Dietary CRA Tier II Occurrence patterns
Restrict use percentage up-scaling to authorised uses true EC 2018 Dietary CRA Tier II Occurrence patterns
Substance conversion method DrawRandom EC 2018 Dietary CRA Tier II Concentrations
Retain all allocated substances after active substance allocation true EC 2018 Dietary CRA Tier II Concentrations
Account for substance authorisations in substance conversions true EC 2018 Dietary CRA Tier II Concentrations
Fix duplicate substance allocation inconsistencies false EC 2018 Dietary CRA Tier II Concentrations
Use extrapolation rules true EC 2018 Dietary CRA Tier II Concentrations
Threshold for extrapolation 10 EC 2018 Dietary CRA Tier II Concentrations
Restrict extrapolations to equal MRLs true EC 2018 Dietary CRA Tier II Concentrations
Restrict extrapolations to authorised uses true EC 2018 Dietary CRA Tier II Concentrations
Impute water concentrations true EC 2018 Dietary CRA Tier II Concentrations
Water concentration value (µg/kg) 0.05 EC 2018 Dietary CRA Tier II Concentrations
Restrict water imputation to the five most toxic substances true EC 2018 Dietary CRA Tier II Concentrations
Restrict water imputation to authorised uses false EC 2018 Dietary CRA Tier II Concentrations
Restrict water imputation to approved substances false EC 2018 Dietary CRA Tier II Concentrations

EFSA 2022 Dietary CRA Tier I

Table 227 Tier definition for EFSA 2022 Dietary CRA Tier I.
Name Setting From input tier In module
Multiple substances analysis true
Compute cumulative risks true
Health effect type Risk
Risk metric type MarginOfExposure
Threshold safety plot 100
Use inverse distribution to calculate percentile true
Target level External
Left margin safety plot 0.1
Right margin safety plot 10000000
Inclusion percentage variability interval 99.8
Total diet study concentration data false EFSA 2022 Dietary CRA Tier I Dietary exposures
Multiple substances analysis true EFSA 2022 Dietary CRA Tier I Dietary exposures
Compute cumulative exposures true EFSA 2022 Dietary CRA Tier I Dietary exposures
Sample based true EFSA 2022 Dietary CRA Tier I Dietary exposures
Consumptions on the same day come from the same sample false EFSA 2022 Dietary CRA Tier I Dietary exposures
Apply processing factors true EFSA 2022 Dietary CRA Tier I Dietary exposures
Use distribution false EFSA 2022 Dietary CRA Tier I Dietary exposures
Ignore processing factors less than 1 false EFSA 2022 Dietary CRA Tier I Dietary exposures
Use unit variability true EFSA 2022 Dietary CRA Tier I Dietary exposures
Unit variability model BetaDistribution EFSA 2022 Dietary CRA Tier I Dietary exposures
Estimates nature Realistic EFSA 2022 Dietary CRA Tier I Dietary exposures
Unit variability parameter VariabilityFactor EFSA 2022 Dietary CRA Tier I Dietary exposures
Model type OIM EFSA 2022 Dietary CRA Tier I Dietary exposures
Model-then-add false EFSA 2022 Dietary CRA Tier I Dietary exposures
Covariate modelling false EFSA 2022 Dietary CRA Tier I Dietary exposures
Iterate survey false EFSA 2022 Dietary CRA Tier I Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight false EFSA 2022 Dietary CRA Tier I Dietary exposures
Default concentration model Empirical EFSA 2022 Dietary CRA Tier I Concentration models
Include MRL fallback model false EFSA 2022 Dietary CRA Tier I Concentration models
Restrict LOR imputation to authorised uses false EFSA 2022 Dietary CRA Tier I Concentration models
Censored values replacement ReplaceByLOR EFSA 2022 Dietary CRA Tier I Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) 0.5 EFSA 2022 Dietary CRA Tier I Concentration models
Sample based true EFSA 2022 Dietary CRA Tier I Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) true EFSA 2022 Dietary CRA Tier I Concentration models
Correlate imputed values with sample potency true EFSA 2022 Dietary CRA Tier I Concentration models
Use occurrence frequencies for imputation true EFSA 2022 Dietary CRA Tier I Concentration models
Parametric uncertainty false EFSA 2022 Dietary CRA Tier I Concentration models
Apply occurrence pattern percentages false EFSA 2022 Dietary CRA Tier I Occurrence patterns
Use substance conversion rules true EFSA 2022 Dietary CRA Tier I Concentrations
Substance conversion method UseMostToxic EFSA 2022 Dietary CRA Tier I Concentrations
Retain all allocated substances after active substance allocation true EFSA 2022 Dietary CRA Tier I Concentrations
Account for substance authorisations in substance conversions false EFSA 2022 Dietary CRA Tier I Concentrations
Fix duplicate substance allocation inconsistencies false EFSA 2022 Dietary CRA Tier I Concentrations
Use extrapolation rules false EFSA 2022 Dietary CRA Tier I Concentrations
Impute water concentrations true EFSA 2022 Dietary CRA Tier I Concentrations
Water concentration value (µg/kg) 0.1 EFSA 2022 Dietary CRA Tier I Concentrations
Restrict water imputation to the five most toxic substances true EFSA 2022 Dietary CRA Tier I Concentrations
Restrict water imputation to authorised uses false EFSA 2022 Dietary CRA Tier I Concentrations
Restrict water imputation to approved substances true EFSA 2022 Dietary CRA Tier I Concentrations
Ignore sampling weights true EFSA 2022 Dietary CRA Tier I Consumptions
N (number of days in survey) 2 EFSA 2022 Dietary CRA Tier I Consumptions

EFSA 2022 Dietary CRA Tier II

Table 228 Tier definition for EFSA 2022 Dietary CRA Tier II.
Name Setting From input tier In module
Multiple substances analysis true
Compute cumulative risks true
Health effect type Risk
Risk metric type MarginOfExposure
Threshold safety plot 100
Use inverse distribution to calculate percentile true
Target level External
Left margin safety plot 0.1
Right margin safety plot 10000000
Inclusion percentage variability interval 99.8
Total diet study concentration data false EFSA 2022 Dietary CRA Tier II Dietary exposures
Multiple substances analysis true EFSA 2022 Dietary CRA Tier II Dietary exposures
Compute cumulative exposures true EFSA 2022 Dietary CRA Tier II Dietary exposures
Sample based true EFSA 2022 Dietary CRA Tier II Dietary exposures
Consumptions on the same day come from the same sample false EFSA 2022 Dietary CRA Tier II Dietary exposures
Apply processing factors true EFSA 2022 Dietary CRA Tier II Dietary exposures
Use distribution false EFSA 2022 Dietary CRA Tier II Dietary exposures
Ignore processing factors less than 1 false EFSA 2022 Dietary CRA Tier II Dietary exposures
Use unit variability true EFSA 2022 Dietary CRA Tier II Dietary exposures
Unit variability model BetaDistribution EFSA 2022 Dietary CRA Tier II Dietary exposures
Estimates nature Realistic EFSA 2022 Dietary CRA Tier II Dietary exposures
Unit variability parameter VariabilityFactor EFSA 2022 Dietary CRA Tier II Dietary exposures
Model type OIM EFSA 2022 Dietary CRA Tier II Dietary exposures
Model-then-add false EFSA 2022 Dietary CRA Tier II Dietary exposures
Covariate modelling false EFSA 2022 Dietary CRA Tier II Dietary exposures
Iterate survey false EFSA 2022 Dietary CRA Tier II Dietary exposures
Report consumptions and exposures per individual instead of per kg body weight false EFSA 2022 Dietary CRA Tier II Dietary exposures
Default concentration model Empirical EFSA 2022 Dietary CRA Tier II Concentration models
Include MRL fallback model false EFSA 2022 Dietary CRA Tier II Concentration models
Restrict LOR imputation to authorised uses false EFSA 2022 Dietary CRA Tier II Concentration models
Censored values replacement ReplaceByLOR EFSA 2022 Dietary CRA Tier II Concentration models
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) 0.5 EFSA 2022 Dietary CRA Tier II Concentration models
Sample based true EFSA 2022 Dietary CRA Tier II Concentration models
Impute missing values from available values (if unchecked, missing values are imputed with 0) true EFSA 2022 Dietary CRA Tier II Concentration models
Correlate imputed values with sample potency false EFSA 2022 Dietary CRA Tier II Concentration models
Use occurrence frequencies for imputation true EFSA 2022 Dietary CRA Tier II Concentration models
Parametric uncertainty false EFSA 2022 Dietary CRA Tier II Concentration models
Apply occurrence pattern percentages true EFSA 2022 Dietary CRA Tier II Occurrence patterns
Scale up use frequency to 100% true EFSA 2022 Dietary CRA Tier II Occurrence patterns
Restrict use percentage up-scaling to authorised uses true EFSA 2022 Dietary CRA Tier II Occurrence patterns
Use substance conversion rules true EFSA 2022 Dietary CRA Tier II Concentrations
Substance conversion method DrawRandom EFSA 2022 Dietary CRA Tier II Concentrations
Retain all allocated substances after active substance allocation true EFSA 2022 Dietary CRA Tier II Concentrations
Account for substance authorisations in substance conversions true EFSA 2022 Dietary CRA Tier II Concentrations
Fix duplicate substance allocation inconsistencies false EFSA 2022 Dietary CRA Tier II Concentrations
Use extrapolation rules false EFSA 2022 Dietary CRA Tier II Concentrations
Impute water concentrations true EFSA 2022 Dietary CRA Tier II Concentrations
Water concentration value (µg/kg) 0.05 EFSA 2022 Dietary CRA Tier II Concentrations
Restrict water imputation to the five most toxic substances true EFSA 2022 Dietary CRA Tier II Concentrations
Restrict water imputation to authorised uses false EFSA 2022 Dietary CRA Tier II Concentrations
Restrict water imputation to approved substances true EFSA 2022 Dietary CRA Tier II Concentrations
Ignore sampling weights true EFSA 2022 Dietary CRA Tier II Consumptions
N (number of days in survey) 2 EFSA 2022 Dietary CRA Tier II Consumptions