Dietary exposures tiers¶
Overview¶
Name | EFSA 2012 Optimistic | EFSA 2012 Pessimistic | EC 2018 Tier 1 | EC 2018 Tier 2 |
---|---|---|---|---|
Dietary intake calculation method |
DistributionEstimates |
DistributionEstimates |
DistributionEstimates |
DistributionEstimates |
Refined method choice |
false |
false |
false |
false |
Sample based |
true |
true |
true |
true |
Consumptions on the same day come from the same sample |
false |
true |
true |
true |
Processing factor model |
Fixed |
FixedAllowHigher |
Fixed |
Fixed |
Unit variability model |
NoUnitVariability |
BetaDistribution |
BetaDistribution |
BetaDistribution |
Estimates nature |
Realistic |
Realistic |
Realistic |
|
Unit variability parameter |
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 |
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 vatiability model should be applied.
Name | Setting |
---|---|
Dietary intake calculation method |
DistributionEstimates |
Refined method choice |
false |
Sample based |
true |
Consumptions on the same day come from the same sample |
false |
Processing factor model |
Fixed |
Unit variability model |
NoUnitVariability |
Model type |
OIM |
Model-then-add |
false |
Covariate modelling |
false |
Covariate modelling |
false |
Iterate survey |
false |
Report consumptions and exposures per individual instead of per kg body weight |
false |
Input tiers¶
Module | Input tier |
---|---|
Concentration models | EFSA 2012 Optimistic |
EFSA 2012 Pessimistic¶
Use the pessimistic model settings according to the EFSA Guidance 2012. Only processing factors > 1 are applied. For unit variability, the Beta or Lognormal distribution should be applied.
Name | Setting |
---|---|
Dietary intake calculation method |
DistributionEstimates |
Refined method choice |
false |
Sample based |
true |
Consumptions on the same day come from the same sample |
true |
Processing factor model |
FixedAllowHigher |
Unit variability model |
BetaDistribution |
Estimates nature |
Realistic |
Unit variability parameter |
VariabilityFactor |
Model type |
OIM |
Model-then-add |
false |
Covariate modelling |
false |
Covariate modelling |
false |
Iterate survey |
false |
Report consumptions and exposures per individual instead of per kg body weight |
false |
Input tiers¶
Module | Input tier |
---|---|
Concentration models | EFSA 2012 Pessimistic |
EC 2018 Tier 1¶
Name | Setting |
---|---|
Dietary intake calculation method |
DistributionEstimates |
Refined method choice |
false |
Sample based |
true |
Consumptions on the same day come from the same sample |
true |
Processing factor model |
Fixed |
Unit variability model |
BetaDistribution |
Estimates nature |
Realistic |
Unit variability parameter |
VariabilityFactor |
Model type |
OIM |
Model-then-add |
false |
Covariate modelling |
false |
Covariate modelling |
false |
Iterate survey |
false |
Report consumptions and exposures per individual instead of per kg body weight |
false |
Input tiers¶
Module | Input tier |
---|---|
Concentration models | EC 2018 Tier 1 |
EC 2018 Tier 2¶
Name | Setting |
---|---|
Dietary intake calculation method |
DistributionEstimates |
Refined method choice |
false |
Sample based |
true |
Consumptions on the same day come from the same sample |
true |
Processing factor model |
Fixed |
Unit variability model |
BetaDistribution |
Estimates nature |
Realistic |
Unit variability parameter |
VariabilityFactor |
Model type |
OIM |
Model-then-add |
false |
Covariate modelling |
false |
Covariate modelling |
false |
Iterate survey |
false |
Report consumptions and exposures per individual instead of per kg body weight |
false |
Input tiers¶
Module | Input tier |
---|---|
Concentration models | EC 2018 Tier 2 |