Risks tiers
Overview
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 |
Acute |
Chronic |
Acute |
Chronic |
Acute |
Chronic |
Multiple substances analysis |
true |
true |
true |
true |
true |
true |
true |
true |
true |
true |
true |
Compute cumulative risks |
true |
true |
true |
true |
true |
true |
true |
true |
true |
true |
true |
Health effect type |
Risk |
Risk |
Risk |
Risk |
Risk |
Risk |
Risk |
Risk |
Risk |
Risk |
Risk |
Risk characterisation ratio |
HazardExposureRatio |
HazardExposureRatio |
HazardExposureRatio |
HazardExposureRatio |
HazardExposureRatio |
HazardExposureRatio |
HazardExposureRatio |
HazardExposureRatio |
HazardExposureRatio |
HazardExposureRatio |
HazardExposureRatio |
Risk threshold |
100 |
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 |
true |
Target level |
External |
External |
External |
External |
External |
External |
External |
External |
External |
External |
External |
Exposure calculation method |
ModelledConcentration |
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 |
99.8 |
Total diet study concentration data |
false |
false |
false |
false |
false |
false |
false |
false |
false |
false |
|
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 |
false |
true |
true |
true |
|||||
Unit variability model |
BetaDistribution |
BetaDistribution |
BetaDistribution |
BetaDistribution |
BetaDistribution |
||||||
Estimates nature |
Realistic |
Realistic |
Realistic |
Realistic |
Realistic |
||||||
Unit variability parameter |
VariabilityFactor |
VariabilityFactor |
VariabilityFactor |
VariabilityFactor |
VariabilityFactor |
||||||
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 |
Ignore sampling weights |
true |
true |
true |
true |
true |
true |
true |
true |
|||
Exclude individuals with less than N days |
false |
true |
false |
true |
false |
true |
false |
true |
|||
Filter samples exceeding the concentration limits |
false |
false |
false |
false |
false |
false |
false |
false |
false |
false |
|
Use substance conversion rules |
true |
true |
true |
true |
true |
true |
true |
true |
|||
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 |
|||
Model type |
OIM |
OIM |
OIM |
OIM |
OIM |
OIM |
|||||
N (number of days in survey) |
2 |
2 |
2 |
2 |
|||||||
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 |
Retrospective dietary CRA (EC 2018) - Acute / Tier I
Retrospective dietary CRA (EC 2018) - Chronic / Tier I
Retrospective dietary CRA (EC 2018) - Acute / Tier II
Retrospective dietary CRA (EC 2018) - Chronic / Tier II
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.
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.
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.