Dietary exposures 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 |
Chronic |
Acute |
Chronic |
Acute |
Chronic |
|
Total diet study concentration data |
false |
false |
false |
false |
false |
false |
false |
false |
false |
false |
|
Multiple substances analysis |
true |
true |
true |
true |
true |
true |
true |
true |
|||
Compute cumulative exposures |
true |
true |
true |
true |
true |
true |
true |
true |
|||
Sample based |
true |
true |
true |
true |
true |
true |
true |
true |
true |
true |
true |
Consumptions on the same day come from the same sample |
false |
false |
false |
false |
false |
true |
true |
false |
false |
false |
false |
Apply processing factors |
true |
true |
true |
true |
true |
true |
true |
true |
true |
true |
true |
Use distribution |
false |
false |
false |
false |
false |
false |
false |
false |
false |
false |
false |
Ignore processing factors less than 1 |
false |
false |
false |
false |
false |
true |
true |
false |
false |
false |
false |
Use unit variability |
true |
true |
true |
true |
false |
true |
true |
true |
true |
true |
|
Unit variability model |
BetaDistribution |
BetaDistribution |
BetaDistribution |
BetaDistribution |
BetaDistribution |
BetaDistribution |
BetaDistribution |
BetaDistribution |
BetaDistribution |
||
Estimates nature |
Realistic |
Realistic |
Realistic |
Realistic |
Realistic |
Realistic |
Realistic |
Realistic |
Realistic |
||
Unit variability parameter |
VariabilityFactor |
VariabilityFactor |
VariabilityFactor |
VariabilityFactor |
VariabilityFactor |
VariabilityFactor |
VariabilityFactor |
VariabilityFactor |
VariabilityFactor |
||
Model type |
OIM |
OIM |
OIM |
OIM |
OIM |
OIM |
OIM |
OIM |
OIM |
OIM |
|
Model-then-add |
false |
false |
false |
false |
false |
false |
false |
false |
false |
false |
|
Covariate modelling |
false |
false |
false |
false |
false |
false |
false |
false |
false |
false |
false |
Iterate survey |
false |
false |
false |
false |
false |
false |
false |
false |
false |
false |
false |
Report consumptions and exposures per individual instead of per kg body weight |
false |
false |
false |
false |
false |
false |
false |
false |
false |
false |
false |
Substance conversion method |
UseMostToxic |
UseMostToxic |
DrawRandom |
DrawRandom |
UseMostToxic |
UseMostToxic |
DrawRandom |
DrawRandom |
|||
Retain all allocated substances after active substance allocation |
true |
true |
true |
true |
true |
true |
true |
true |
|||
Account for substance authorisations in substance conversions |
false |
false |
true |
true |
false |
false |
true |
true |
|||
Fix duplicate substance allocation inconsistencies |
false |
false |
false |
false |
false |
false |
false |
false |
|||
Use extrapolation rules |
true |
true |
true |
true |
false |
false |
false |
false |
|||
Threshold for extrapolation |
10 |
10 |
10 |
10 |
|||||||
Restrict extrapolations to equal MRLs |
true |
true |
true |
true |
|||||||
Restrict extrapolations to authorised uses |
true |
true |
true |
true |
|||||||
Impute water concentrations |
true |
true |
true |
true |
true |
true |
true |
true |
|||
Water concentration value (µg/kg) |
0.1 |
0.1 |
0.05 |
0.05 |
0.1 |
0.1 |
0.05 |
0.05 |
|||
Restrict water imputation to the five most toxic substances |
true |
true |
true |
true |
true |
true |
true |
true |
|||
Restrict water imputation to authorised uses |
false |
false |
false |
false |
false |
false |
false |
false |
|||
Restrict water imputation to approved substances |
false |
false |
false |
false |
true |
true |
true |
true |
|||
Default concentration model |
Empirical |
Empirical |
Empirical |
Empirical |
Empirical |
NonDetectSpikeLogNormal |
NonDetectSpikeLogNormal |
Empirical |
Empirical |
Empirical |
Empirical |
Include MRL fallback model |
false |
false |
false |
false |
false |
true |
true |
false |
false |
false |
false |
Restrict LOR imputation to authorised uses |
false |
false |
false |
false |
false |
false |
false |
false |
false |
false |
|
Censored values replacement |
ReplaceByLOR |
ReplaceByLOR |
ReplaceByLOR |
ReplaceByLOR |
ReplaceByZero |
ReplaceByLOR |
ReplaceByLOR |
ReplaceByLOR |
ReplaceByLOR |
ReplaceByLOR |
ReplaceByLOR |
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) |
0.5 |
0.5 |
0.5 |
0.5 |
1 |
1 |
0.5 |
0.5 |
0.5 |
0.5 |
|
Impute missing values from available values (if unchecked, missing values are imputed with 0) |
true |
true |
true |
true |
false |
true |
true |
true |
true |
true |
true |
Correlate imputed values with sample potency |
true |
true |
false |
false |
false |
true |
true |
true |
true |
false |
false |
Use occurrence frequencies for imputation |
true |
true |
true |
true |
false |
true |
true |
true |
true |
||
Parametric uncertainty |
false |
false |
false |
false |
false |
true |
false |
false |
false |
false |
false |
Apply occurrence pattern percentages |
false |
false |
true |
true |
false |
false |
true |
true |
|||
Scale up use frequency to 100% |
true |
true |
true |
true |
|||||||
Restrict use percentage up-scaling to authorised uses |
true |
true |
true |
true |
|||||||
MRL Factor (f x MRL) |
1 |
1 |
|||||||||
Ignore sampling weights |
true |
true |
true |
true |
|||||||
Exclude individuals with less than N days |
false |
true |
false |
true |
|||||||
N (number of days in survey) |
2 |
2 |
2 |
2 |
|||||||
Use substance conversion rules |
true |
true |
true |
true |
Retrospective dietary CRA (EC 2018) - Acute / Tier I
| Name | Setting | From input tier | In module |
|---|---|---|---|
| Exposure type | Acute | ||
| Total diet study concentration data | false | ||
| Multiple substances analysis | true | ||
| Compute cumulative exposures | true | ||
| Sample based | true | ||
| Consumptions on the same day come from the same sample | false | ||
| Apply processing factors | true | ||
| Use distribution | false | ||
| Ignore processing factors less than 1 | false | ||
| Use unit variability | true | ||
| Unit variability model | BetaDistribution | ||
| Estimates nature | Realistic | ||
| Unit variability parameter | VariabilityFactor | ||
| Model type | OIM | ||
| Model-then-add | false | ||
| Covariate modelling | false | ||
| Iterate survey | false | ||
| Report consumptions and exposures per individual instead of per kg body weight | false | ||
| Substance conversion method | UseMostToxic | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentrations |
| Retain all allocated substances after active substance allocation | true | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentrations |
| Account for substance authorisations in substance conversions | false | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentrations |
| Fix duplicate substance allocation inconsistencies | false | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentrations |
| Use extrapolation rules | true | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentrations |
| Threshold for extrapolation | 10 | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentrations |
| Restrict extrapolations to equal MRLs | true | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentrations |
| Restrict extrapolations to authorised uses | true | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentrations |
| Impute water concentrations | true | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentrations |
| Water concentration value (µg/kg) | 0.1 | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentrations |
| Restrict water imputation to the five most toxic substances | true | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentrations |
| Restrict water imputation to authorised uses | false | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentrations |
| Restrict water imputation to approved substances | false | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentrations |
| Default concentration model | Empirical | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentration models |
| Include MRL fallback model | false | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentration models |
| Restrict LOR imputation to authorised uses | false | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentration models |
| Censored values replacement | ReplaceByLOR | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentration models |
| Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) | 0.5 | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentration models |
| Sample based | true | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentration models |
| Impute missing values from available values (if unchecked, missing values are imputed with 0) | true | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentration models |
| Correlate imputed values with sample potency | true | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentration models |
| Use occurrence frequencies for imputation | true | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentration models |
| Parametric uncertainty | false | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Concentration models |
| Apply occurrence pattern percentages | false | Retrospective dietary CRA (EC 2018) - Acute / Tier I | Occurrence patterns |
Retrospective dietary CRA (EC 2018) - Chronic / Tier I
| Name | Setting | From input tier | In module |
|---|---|---|---|
| Exposure type | Chronic | ||
| Total diet study concentration data | false | ||
| Multiple substances analysis | true | ||
| Compute cumulative exposures | true | ||
| Sample based | true | ||
| Consumptions on the same day come from the same sample | false | ||
| Apply processing factors | true | ||
| Use distribution | false | ||
| Ignore processing factors less than 1 | false | ||
| Use unit variability | true | ||
| Unit variability model | BetaDistribution | ||
| Estimates nature | Realistic | ||
| Unit variability parameter | VariabilityFactor | ||
| Model type | OIM | ||
| Model-then-add | false | ||
| Covariate modelling | false | ||
| Iterate survey | false | ||
| Report consumptions and exposures per individual instead of per kg body weight | false | ||
| Substance conversion method | UseMostToxic | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentrations |
| Retain all allocated substances after active substance allocation | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentrations |
| Account for substance authorisations in substance conversions | false | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentrations |
| Fix duplicate substance allocation inconsistencies | false | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentrations |
| Use extrapolation rules | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentrations |
| Threshold for extrapolation | 10 | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentrations |
| Restrict extrapolations to equal MRLs | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentrations |
| Restrict extrapolations to authorised uses | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentrations |
| Impute water concentrations | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentrations |
| Water concentration value (µg/kg) | 0.1 | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentrations |
| Restrict water imputation to the five most toxic substances | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentrations |
| Restrict water imputation to authorised uses | false | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentrations |
| Restrict water imputation to approved substances | false | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentrations |
| Default concentration model | Empirical | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentration models |
| Include MRL fallback model | false | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentration models |
| Restrict LOR imputation to authorised uses | false | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentration models |
| Censored values replacement | ReplaceByLOR | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentration models |
| Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) | 0.5 | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentration models |
| Sample based | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentration models |
| Impute missing values from available values (if unchecked, missing values are imputed with 0) | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentration models |
| Correlate imputed values with sample potency | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentration models |
| Use occurrence frequencies for imputation | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentration models |
| Parametric uncertainty | false | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Concentration models |
| Apply occurrence pattern percentages | false | Retrospective dietary CRA (EC 2018) - Chronic / Tier I | Occurrence patterns |
Retrospective dietary CRA (EC 2018) - Acute / Tier II
| Name | Setting | From input tier | In module |
|---|---|---|---|
| Exposure type | Acute | ||
| Total diet study concentration data | false | ||
| Multiple substances analysis | true | ||
| Compute cumulative exposures | true | ||
| Sample based | true | ||
| Consumptions on the same day come from the same sample | false | ||
| Apply processing factors | true | ||
| Use distribution | false | ||
| Ignore processing factors less than 1 | false | ||
| Use unit variability | true | ||
| Unit variability model | BetaDistribution | ||
| Estimates nature | Realistic | ||
| Unit variability parameter | VariabilityFactor | ||
| Model type | OIM | ||
| Model-then-add | false | ||
| Covariate modelling | false | ||
| Iterate survey | false | ||
| Report consumptions and exposures per individual instead of per kg body weight | false | ||
| Substance conversion method | DrawRandom | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentrations |
| Retain all allocated substances after active substance allocation | true | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentrations |
| Account for substance authorisations in substance conversions | true | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentrations |
| Fix duplicate substance allocation inconsistencies | false | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentrations |
| Use extrapolation rules | true | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentrations |
| Threshold for extrapolation | 10 | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentrations |
| Restrict extrapolations to equal MRLs | true | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentrations |
| Restrict extrapolations to authorised uses | true | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentrations |
| Impute water concentrations | true | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentrations |
| Water concentration value (µg/kg) | 0.05 | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentrations |
| Restrict water imputation to the five most toxic substances | true | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentrations |
| Restrict water imputation to authorised uses | false | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentrations |
| Restrict water imputation to approved substances | false | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentrations |
| Default concentration model | Empirical | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentration models |
| Include MRL fallback model | false | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentration models |
| Restrict LOR imputation to authorised uses | false | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentration models |
| Censored values replacement | ReplaceByLOR | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentration models |
| Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) | 0.5 | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentration models |
| Sample based | true | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentration models |
| Impute missing values from available values (if unchecked, missing values are imputed with 0) | true | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentration models |
| Correlate imputed values with sample potency | false | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentration models |
| Use occurrence frequencies for imputation | true | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentration models |
| Parametric uncertainty | false | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Concentration models |
| Apply occurrence pattern percentages | true | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Occurrence patterns |
| Scale up use frequency to 100% | true | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Occurrence patterns |
| Restrict use percentage up-scaling to authorised uses | true | Retrospective dietary CRA (EC 2018) - Acute / Tier II | Occurrence patterns |
Retrospective dietary CRA (EC 2018) - Chronic / Tier II
| Name | Setting | From input tier | In module |
|---|---|---|---|
| Exposure type | Chronic | ||
| Total diet study concentration data | false | ||
| Multiple substances analysis | true | ||
| Compute cumulative exposures | true | ||
| Sample based | true | ||
| Consumptions on the same day come from the same sample | false | ||
| Apply processing factors | true | ||
| Use distribution | false | ||
| Ignore processing factors less than 1 | false | ||
| Use unit variability | true | ||
| Unit variability model | BetaDistribution | ||
| Estimates nature | Realistic | ||
| Unit variability parameter | VariabilityFactor | ||
| Model type | OIM | ||
| Model-then-add | false | ||
| Covariate modelling | false | ||
| Iterate survey | false | ||
| Report consumptions and exposures per individual instead of per kg body weight | false | ||
| Substance conversion method | DrawRandom | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentrations |
| Retain all allocated substances after active substance allocation | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentrations |
| Account for substance authorisations in substance conversions | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentrations |
| Fix duplicate substance allocation inconsistencies | false | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentrations |
| Use extrapolation rules | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentrations |
| Threshold for extrapolation | 10 | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentrations |
| Restrict extrapolations to equal MRLs | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentrations |
| Restrict extrapolations to authorised uses | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentrations |
| Impute water concentrations | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentrations |
| Water concentration value (µg/kg) | 0.05 | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentrations |
| Restrict water imputation to the five most toxic substances | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentrations |
| Restrict water imputation to authorised uses | false | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentrations |
| Restrict water imputation to approved substances | false | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentrations |
| Default concentration model | Empirical | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentration models |
| Include MRL fallback model | false | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentration models |
| Restrict LOR imputation to authorised uses | false | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentration models |
| Censored values replacement | ReplaceByLOR | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentration models |
| Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) | 0.5 | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentration models |
| Sample based | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentration models |
| Impute missing values from available values (if unchecked, missing values are imputed with 0) | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentration models |
| Correlate imputed values with sample potency | false | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentration models |
| Use occurrence frequencies for imputation | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentration models |
| Parametric uncertainty | false | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Concentration models |
| Apply occurrence pattern percentages | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Occurrence patterns |
| Scale up use frequency to 100% | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Occurrence patterns |
| Restrict use percentage up-scaling to authorised uses | true | Retrospective dietary CRA (EC 2018) - Chronic / Tier II | Occurrence patterns |
Retrospective dietary CRA (EFSA 2012) - Optimistic
Use the optimistic model settings according to the EFSA Guidance 2012. Concentration values are sampled using a sample-based empirical distribution. Available processing factors are applied. No unit variability model should be applied.
| Name | Setting | From input tier | In module |
|---|---|---|---|
| Total diet study concentration data | false | ||
| Sample based | true | ||
| Consumptions on the same day come from the same sample | false | ||
| Apply processing factors | true | ||
| Use distribution | false | ||
| Ignore processing factors less than 1 | false | ||
| Use unit variability | false | ||
| Model type | OIM | ||
| Model-then-add | false | ||
| Covariate modelling | false | ||
| Iterate survey | false | ||
| Report consumptions and exposures per individual instead of per kg body weight | false | ||
| Default concentration model | Empirical | Retrospective dietary CRA (EFSA 2012) - Optimistic | Concentration models |
| Include MRL fallback model | false | Retrospective dietary CRA (EFSA 2012) - Optimistic | Concentration models |
| Censored values replacement | ReplaceByZero | Retrospective dietary CRA (EFSA 2012) - Optimistic | Concentration models |
| Sample based | true | Retrospective dietary CRA (EFSA 2012) - Optimistic | Concentration models |
| Impute missing values from available values (if unchecked, missing values are imputed with 0) | false | Retrospective dietary CRA (EFSA 2012) - Optimistic | Concentration models |
| Correlate imputed values with sample potency | false | Retrospective dietary CRA (EFSA 2012) - Optimistic | Concentration models |
| Use occurrence frequencies for imputation | false | Retrospective dietary CRA (EFSA 2012) - Optimistic | Concentration models |
| Parametric uncertainty | false | Retrospective dietary CRA (EFSA 2012) - Optimistic | Concentration models |
Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic
Acute probabilistic exposure assessment using the pessimistic model settings according to the EFSA Guidance 2012. Only processing factors > 1 are applied. For unit variability, the Beta distribution is applied.
| Name | Setting | From input tier | In module |
|---|---|---|---|
| Exposure type | Acute | ||
| Sample based | true | ||
| Consumptions on the same day come from the same sample | true | ||
| Apply processing factors | true | ||
| Use distribution | false | ||
| Ignore processing factors less than 1 | true | ||
| Use unit variability | true | ||
| Unit variability model | BetaDistribution | ||
| Estimates nature | Realistic | ||
| Unit variability parameter | VariabilityFactor | ||
| Covariate modelling | false | ||
| Iterate survey | false | ||
| Report consumptions and exposures per individual instead of per kg body weight | false | ||
| Default concentration model | NonDetectSpikeLogNormal | Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic | Concentration models |
| Include MRL fallback model | true | Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic | Concentration models |
| Restrict LOR imputation to authorised uses | false | Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic | Concentration models |
| Censored values replacement | ReplaceByLOR | Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic | Concentration models |
| Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) | 1 | Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic | Concentration models |
| MRL Factor (f x MRL) | 1 | Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic | Concentration models |
| Sample based | true | Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic | Concentration models |
| Impute missing values from available values (if unchecked, missing values are imputed with 0) | true | Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic | Concentration models |
| Correlate imputed values with sample potency | true | Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic | Concentration models |
| Parametric uncertainty | true | Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic | Concentration models |
Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic
Chronic probabilistic exposure assessment using the pessimistic model settings according to the EFSA Guidance 2012. Only processing factors > 1 are applied.
| Name | Setting | From input tier | In module |
|---|---|---|---|
| Exposure type | Chronic | ||
| Total diet study concentration data | false | ||
| Sample based | true | ||
| Consumptions on the same day come from the same sample | true | ||
| Apply processing factors | true | ||
| Use distribution | false | ||
| Ignore processing factors less than 1 | true | ||
| Model type | OIM | ||
| Model-then-add | false | ||
| Covariate modelling | false | ||
| Iterate survey | false | ||
| Report consumptions and exposures per individual instead of per kg body weight | false | ||
| Default concentration model | NonDetectSpikeLogNormal | Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic | Concentration models |
| Include MRL fallback model | true | Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic | Concentration models |
| Restrict LOR imputation to authorised uses | false | Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic | Concentration models |
| Censored values replacement | ReplaceByLOR | Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic | Concentration models |
| Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) | 1 | Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic | Concentration models |
| MRL Factor (f x MRL) | 1 | Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic | Concentration models |
| Sample based | true | Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic | Concentration models |
| Impute missing values from available values (if unchecked, missing values are imputed with 0) | true | Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic | Concentration models |
| Correlate imputed values with sample potency | true | Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic | Concentration models |
| Parametric uncertainty | false | Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic | Concentration models |
Retrospective dietary CRA (EFSA 2022) - Acute / Tier I
| Name | Setting | From input tier | In module |
|---|---|---|---|
| Exposure type | Acute | ||
| Total diet study concentration data | false | ||
| Multiple substances analysis | true | ||
| Compute cumulative exposures | true | ||
| Sample based | true | ||
| Consumptions on the same day come from the same sample | false | ||
| Apply processing factors | true | ||
| Use distribution | false | ||
| Ignore processing factors less than 1 | false | ||
| Use unit variability | true | ||
| Unit variability model | BetaDistribution | ||
| Estimates nature | Realistic | ||
| Unit variability parameter | VariabilityFactor | ||
| Model type | OIM | ||
| Model-then-add | false | ||
| Covariate modelling | false | ||
| Iterate survey | false | ||
| Report consumptions and exposures per individual instead of per kg body weight | false | ||
| Ignore sampling weights | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Consumptions |
| Exclude individuals with less than N days | false | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Consumptions |
| N (number of days in survey) | 2 | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Consumptions |
| Use substance conversion rules | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Concentrations |
| Substance conversion method | UseMostToxic | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Concentrations |
| Retain all allocated substances after active substance allocation | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Concentrations |
| Account for substance authorisations in substance conversions | false | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Concentrations |
| Fix duplicate substance allocation inconsistencies | false | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Concentrations |
| Use extrapolation rules | false | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Concentrations |
| Impute water concentrations | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Concentrations |
| Water concentration value (µg/kg) | 0.1 | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Concentrations |
| Restrict water imputation to the five most toxic substances | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Concentrations |
| Restrict water imputation to authorised uses | false | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Concentrations |
| Restrict water imputation to approved substances | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Concentrations |
| Default concentration model | Empirical | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Concentration models |
| Include MRL fallback model | false | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Concentration models |
| Restrict LOR imputation to authorised uses | false | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Concentration models |
| Censored values replacement | ReplaceByLOR | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Concentration models |
| Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) | 0.5 | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Concentration models |
| Sample based | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Concentration models |
| Impute missing values from available values (if unchecked, missing values are imputed with 0) | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Concentration models |
| Correlate imputed values with sample potency | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Concentration models |
| Use occurrence frequencies for imputation | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Concentration models |
| Parametric uncertainty | false | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Concentration models |
| Apply occurrence pattern percentages | false | Retrospective dietary CRA (EFSA 2022) - Acute / Tier I | Occurrence patterns |
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I
| Name | Setting | From input tier | In module |
|---|---|---|---|
| Exposure type | Chronic | ||
| Total diet study concentration data | false | ||
| Multiple substances analysis | true | ||
| Compute cumulative exposures | true | ||
| Sample based | true | ||
| Consumptions on the same day come from the same sample | false | ||
| Apply processing factors | true | ||
| Use distribution | false | ||
| Ignore processing factors less than 1 | false | ||
| Use unit variability | true | ||
| Unit variability model | BetaDistribution | ||
| Estimates nature | Realistic | ||
| Unit variability parameter | VariabilityFactor | ||
| Model type | OIM | ||
| Model-then-add | false | ||
| Covariate modelling | false | ||
| Iterate survey | false | ||
| Report consumptions and exposures per individual instead of per kg body weight | false | ||
| Ignore sampling weights | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Consumptions |
| Exclude individuals with less than N days | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Consumptions |
| N (number of days in survey) | 2 | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Consumptions |
| Use substance conversion rules | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Concentrations |
| Substance conversion method | UseMostToxic | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Concentrations |
| Retain all allocated substances after active substance allocation | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Concentrations |
| Account for substance authorisations in substance conversions | false | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Concentrations |
| Fix duplicate substance allocation inconsistencies | false | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Concentrations |
| Use extrapolation rules | false | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Concentrations |
| Impute water concentrations | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Concentrations |
| Water concentration value (µg/kg) | 0.1 | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Concentrations |
| Restrict water imputation to the five most toxic substances | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Concentrations |
| Restrict water imputation to authorised uses | false | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Concentrations |
| Restrict water imputation to approved substances | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Concentrations |
| Default concentration model | Empirical | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Concentration models |
| Include MRL fallback model | false | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Concentration models |
| Restrict LOR imputation to authorised uses | false | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Concentration models |
| Censored values replacement | ReplaceByLOR | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Concentration models |
| Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) | 0.5 | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Concentration models |
| Sample based | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Concentration models |
| Impute missing values from available values (if unchecked, missing values are imputed with 0) | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Concentration models |
| Correlate imputed values with sample potency | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Concentration models |
| Use occurrence frequencies for imputation | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Concentration models |
| Parametric uncertainty | false | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Concentration models |
| Apply occurrence pattern percentages | false | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I | Occurrence patterns |
Retrospective dietary CRA (EFSA 2022) - Acute / Tier II
| Name | Setting | From input tier | In module |
|---|---|---|---|
| Exposure type | Acute | ||
| Total diet study concentration data | false | ||
| Multiple substances analysis | true | ||
| Compute cumulative exposures | true | ||
| Sample based | true | ||
| Consumptions on the same day come from the same sample | false | ||
| Apply processing factors | true | ||
| Use distribution | false | ||
| Ignore processing factors less than 1 | false | ||
| Use unit variability | true | ||
| Unit variability model | BetaDistribution | ||
| Estimates nature | Realistic | ||
| Unit variability parameter | VariabilityFactor | ||
| Model type | OIM | ||
| Model-then-add | false | ||
| Covariate modelling | false | ||
| Iterate survey | false | ||
| Report consumptions and exposures per individual instead of per kg body weight | false | ||
| Ignore sampling weights | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Consumptions |
| Exclude individuals with less than N days | false | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Consumptions |
| N (number of days in survey) | 2 | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Consumptions |
| Use substance conversion rules | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Concentrations |
| Substance conversion method | DrawRandom | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Concentrations |
| Retain all allocated substances after active substance allocation | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Concentrations |
| Account for substance authorisations in substance conversions | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Concentrations |
| Fix duplicate substance allocation inconsistencies | false | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Concentrations |
| Use extrapolation rules | false | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Concentrations |
| Impute water concentrations | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Concentrations |
| Water concentration value (µg/kg) | 0.05 | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Concentrations |
| Restrict water imputation to the five most toxic substances | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Concentrations |
| Restrict water imputation to authorised uses | false | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Concentrations |
| Restrict water imputation to approved substances | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Concentrations |
| Default concentration model | Empirical | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Concentration models |
| Include MRL fallback model | false | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Concentration models |
| Restrict LOR imputation to authorised uses | false | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Concentration models |
| Censored values replacement | ReplaceByLOR | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Concentration models |
| Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) | 0.5 | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Concentration models |
| Sample based | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Concentration models |
| Impute missing values from available values (if unchecked, missing values are imputed with 0) | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Concentration models |
| Correlate imputed values with sample potency | false | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Concentration models |
| Use occurrence frequencies for imputation | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Concentration models |
| Parametric uncertainty | false | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Concentration models |
| Apply occurrence pattern percentages | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Occurrence patterns |
| Scale up use frequency to 100% | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Occurrence patterns |
| Restrict use percentage up-scaling to authorised uses | true | Retrospective dietary CRA (EFSA 2022) - Acute / Tier II | Occurrence patterns |
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II
| Name | Setting | From input tier | In module |
|---|---|---|---|
| Exposure type | Chronic | ||
| Total diet study concentration data | false | ||
| Multiple substances analysis | true | ||
| Compute cumulative exposures | true | ||
| Sample based | true | ||
| Consumptions on the same day come from the same sample | false | ||
| Apply processing factors | true | ||
| Use distribution | false | ||
| Ignore processing factors less than 1 | false | ||
| Use unit variability | true | ||
| Unit variability model | BetaDistribution | ||
| Estimates nature | Realistic | ||
| Unit variability parameter | VariabilityFactor | ||
| Model type | OIM | ||
| Model-then-add | false | ||
| Covariate modelling | false | ||
| Iterate survey | false | ||
| Report consumptions and exposures per individual instead of per kg body weight | false | ||
| Ignore sampling weights | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Consumptions |
| Exclude individuals with less than N days | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Consumptions |
| N (number of days in survey) | 2 | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Consumptions |
| Use substance conversion rules | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Concentrations |
| Substance conversion method | DrawRandom | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Concentrations |
| Retain all allocated substances after active substance allocation | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Concentrations |
| Account for substance authorisations in substance conversions | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Concentrations |
| Fix duplicate substance allocation inconsistencies | false | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Concentrations |
| Use extrapolation rules | false | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Concentrations |
| Impute water concentrations | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Concentrations |
| Water concentration value (µg/kg) | 0.05 | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Concentrations |
| Restrict water imputation to the five most toxic substances | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Concentrations |
| Restrict water imputation to authorised uses | false | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Concentrations |
| Restrict water imputation to approved substances | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Concentrations |
| Default concentration model | Empirical | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Concentration models |
| Include MRL fallback model | false | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Concentration models |
| Restrict LOR imputation to authorised uses | false | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Concentration models |
| Censored values replacement | ReplaceByLOR | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Concentration models |
| Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) | 0.5 | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Concentration models |
| Sample based | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Concentration models |
| Impute missing values from available values (if unchecked, missing values are imputed with 0) | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Concentration models |
| Correlate imputed values with sample potency | false | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Concentration models |
| Use occurrence frequencies for imputation | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Concentration models |
| Parametric uncertainty | false | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Concentration models |
| Apply occurrence pattern percentages | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Occurrence patterns |
| Scale up use frequency to 100% | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Occurrence patterns |
| Restrict use percentage up-scaling to authorised uses | true | Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II | Occurrence patterns |