Concentration models tiers
In addition to the possibility for users to work with their own choices for all settings, MCRA implements four tiers from two documents:
The optimistic and pessimistic basic assessments from the EFSA 2012 Guidance on the Use of Probabilistic Methodology for Modelling Dietary Exposure to Pesticide Residues (EFSA (2012)).
Tier 1 and 2 from the European Commission working document SANTE-2015-10216 rev. 7 (2018) on risk management aspects related to the assessment of cumulative exposure (EC (2018)).
Overview
Name | EFSA 2012 Optimistic | EFSA 2012 Pessimistic - Acute | EFSA 2012 Pessimistic - Chronic | EC 2018 Tier 1 | EC 2018 Tier 2 |
---|---|---|---|---|---|
Default concentration model |
Empirical |
NonDetectSpikeLogNormal |
NonDetectSpikeLogNormal |
Empirical |
Empirical |
Include MRL fallback model |
false |
true |
true |
false |
false |
Censored values replacement |
ReplaceByZero |
ReplaceByLOR |
ReplaceByLOR |
ReplaceByLOR |
ReplaceByLOR |
Sample based |
true |
true |
true |
true |
true |
Impute missing values from available values (if unchecked, missing values are imputed with 0) |
false |
true |
true |
true |
true |
Correlate imputed values with sample potency |
false |
true |
true |
true |
false |
Use occurrence frequencies for imputation |
false |
true |
true |
||
Parametric uncertainty |
false |
true |
false |
false |
false |
Restrict LOR imputation to authorised uses |
false |
false |
false |
false |
|
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) |
1 |
1 |
0.5 |
0.5 |
|
MRL Factor (f x MRL) |
1 |
1 |
|||
Apply occurrence pattern percentages |
false |
true |
|||
Substance conversion method |
UseMostToxic |
DrawRandom |
|||
Retain all allocated substances after active substance allocation |
true |
true |
|||
Account for substance authorisations in substance conversions |
false |
true |
|||
Fix duplicate substance allocation inconsistencies |
false |
false |
|||
Use extrapolation rules |
true |
true |
|||
Threshold for extrapolation |
10 |
10 |
|||
Restrict extrapolations to equal MRLs |
true |
true |
|||
Restrict extrapolations to authorised uses |
true |
true |
|||
Impute water concentrations |
true |
true |
|||
Water concentration value (µg/kg) |
0.1 |
0.05 |
|||
Restrict water imputation to the five most toxic substances |
true |
true |
|||
Restrict water imputation to authorised uses |
false |
false |
|||
Restrict water imputation to approved substances |
false |
false |
|||
Scale up use frequency to 100% |
true |
||||
Restrict use percentage up-scaling to authorised uses |
true |
The sections below describe the settings specified by each tier in detail.
EFSA 2012 Optimistic
Use the optimistic model settings according to the EFSA Guidance 2012. Censored values and missing values are replaced by zero.
Name | Setting |
---|---|
Default concentration model |
Empirical |
Include MRL fallback model |
false |
Censored values replacement |
ReplaceByZero |
Sample based |
true |
Impute missing values from available values (if unchecked, missing values are imputed with 0) |
false |
Correlate imputed values with sample potency |
false |
Use occurrence frequencies for imputation |
false |
Parametric uncertainty |
false |
EFSA 2012 Pessimistic - Acute
Concentration model settings for acute pessimistic dietary exposure assessments according to the EFSA Guidance 2012. A censored value spike lognormal model is fitted to the positive residue values and censored values are replaced by the LOR. When the number of positives is smaller than 2, the maximum residue limit (if available) is used instead. Missing values are imputed.
Name | Setting |
---|---|
Default concentration model |
NonDetectSpikeLogNormal |
Include MRL fallback model |
true |
Restrict LOR imputation to authorised uses |
false |
Censored values replacement |
ReplaceByLOR |
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) |
1 |
MRL Factor (f x MRL) |
1 |
Sample based |
true |
Impute missing values from available values (if unchecked, missing values are imputed with 0) |
true |
Correlate imputed values with sample potency |
true |
Parametric uncertainty |
true |
EFSA 2012 Pessimistic - Chronic
Concentration model settings for acute pessimistic dietary exposure assessments according to the EFSA Guidance 2012. A censored value spike lognormal model is fitted to the positive residue values and censored values are replaced by the LOR. When the number of positives is smaller than 2, the maximum residue limit (if available) is used instead. Missing values are imputed.
Name | Setting |
---|---|
Default concentration model |
NonDetectSpikeLogNormal |
Include MRL fallback model |
true |
Restrict LOR imputation to authorised uses |
false |
Censored values replacement |
ReplaceByLOR |
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) |
1 |
MRL Factor (f x MRL) |
1 |
Sample based |
true |
Impute missing values from available values (if unchecked, missing values are imputed with 0) |
true |
Correlate imputed values with sample potency |
true |
Parametric uncertainty |
false |
EC 2018 Tier 1
Name | Setting | From input tier | In module |
---|---|---|---|
Default concentration model | Empirical | ||
Include MRL fallback model | false | ||
Restrict LOR imputation to authorised uses | false | ||
Censored values replacement | ReplaceByLOR | ||
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) | 0.5 | ||
Sample based | true | ||
Impute missing values from available values (if unchecked, missing values are imputed with 0) | true | ||
Correlate imputed values with sample potency | true | ||
Use occurrence frequencies for imputation | true | ||
Parametric uncertainty | false | ||
Apply occurrence pattern percentages | false | EC 2018 Tier 1 | Occurrence patterns |
Substance conversion method | UseMostToxic | EC 2018 Tier 1 | Concentrations |
Retain all allocated substances after active substance allocation | true | EC 2018 Tier 1 | Concentrations |
Account for substance authorisations in substance conversions | false | EC 2018 Tier 1 | Concentrations |
Fix duplicate substance allocation inconsistencies | false | EC 2018 Tier 1 | Concentrations |
Use extrapolation rules | true | EC 2018 Tier 1 | Concentrations |
Threshold for extrapolation | 10 | EC 2018 Tier 1 | Concentrations |
Restrict extrapolations to equal MRLs | true | EC 2018 Tier 1 | Concentrations |
Restrict extrapolations to authorised uses | true | EC 2018 Tier 1 | Concentrations |
Impute water concentrations | true | EC 2018 Tier 1 | Concentrations |
Water concentration value (µg/kg) | 0.1 | EC 2018 Tier 1 | Concentrations |
Restrict water imputation to the five most toxic substances | true | EC 2018 Tier 1 | Concentrations |
Restrict water imputation to authorised uses | false | EC 2018 Tier 1 | Concentrations |
Restrict water imputation to approved substances | false | EC 2018 Tier 1 | Concentrations |
EC 2018 Tier 2
Name | Setting | From input tier | In module |
---|---|---|---|
Default concentration model | Empirical | ||
Include MRL fallback model | false | ||
Restrict LOR imputation to authorised uses | false | ||
Censored values replacement | ReplaceByLOR | ||
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) | 0.5 | ||
Sample based | true | ||
Impute missing values from available values (if unchecked, missing values are imputed with 0) | true | ||
Correlate imputed values with sample potency | false | ||
Use occurrence frequencies for imputation | true | ||
Parametric uncertainty | false | ||
Apply occurrence pattern percentages | true | EC 2018 Tier 2 | Occurrence patterns |
Scale up use frequency to 100% | true | EC 2018 Tier 2 | Occurrence patterns |
Restrict use percentage up-scaling to authorised uses | true | EC 2018 Tier 2 | Occurrence patterns |
Substance conversion method | DrawRandom | EC 2018 Tier 2 | Concentrations |
Retain all allocated substances after active substance allocation | true | EC 2018 Tier 2 | Concentrations |
Account for substance authorisations in substance conversions | true | EC 2018 Tier 2 | Concentrations |
Fix duplicate substance allocation inconsistencies | false | EC 2018 Tier 2 | Concentrations |
Use extrapolation rules | true | EC 2018 Tier 2 | Concentrations |
Threshold for extrapolation | 10 | EC 2018 Tier 2 | Concentrations |
Restrict extrapolations to equal MRLs | true | EC 2018 Tier 2 | Concentrations |
Restrict extrapolations to authorised uses | true | EC 2018 Tier 2 | Concentrations |
Impute water concentrations | true | EC 2018 Tier 2 | Concentrations |
Water concentration value (µg/kg) | 0.05 | EC 2018 Tier 2 | Concentrations |
Restrict water imputation to the five most toxic substances | true | EC 2018 Tier 2 | Concentrations |
Restrict water imputation to authorised uses | false | EC 2018 Tier 2 | Concentrations |
Restrict water imputation to approved substances | false | EC 2018 Tier 2 | Concentrations |
EFSA 2012 Pessimistic
Note
This tier is deprecated and has been replaced by separate acute/chronic tiers.Concentration model settings for pessimistic dietary exposure assessments according to the EFSA Guidance 2012. A censored value spike lognormal model is fitted to the positive residue values and censored values are replaced by the LOR. When the number of positives is smaller than 2, the maximum residue limit (if available) is used instead. Missing values are imputed.
Name | Setting |
---|---|
Default concentration model |
NonDetectSpikeLogNormal |
Include MRL fallback model |
true |
Restrict LOR imputation to authorised uses |
false |
Censored values replacement |
ReplaceByLOR |
Factor f (f x LOR or f x LOD or LOD + f x (LOQ - LOD) |
1 |
MRL Factor (f x MRL) |
1 |
Sample based |
true |
Impute missing values from available values (if unchecked, missing values are imputed with 0) |
true |
Correlate imputed values with sample potency |
true |
Parametric uncertainty |
true |