Assessment group membership probabilities
Introduction
The goal of this exercise is to assess group membership probabilities.
Preparation
If you haven’t done so, in the workspace browser (use the icon), create a new workspace named Examples, using the .
The data files used in the example(s) in this section, are located in the data folder Documentation-Examples / Exercise Dietary Exposure Assessment.
Example 1
In the Examples workspace, create a new action (using )
Then select Dietary exposures
Name it Dietary exposures
Use as Dietary exposures settings
Tier: EFSA Guidance Optimistic
Risk type Chronic
Select Cumulative
Press Create
Then go to the actions settings of this action (path: Dietary exposures)
At Scope, click Foods (path: Dietary exposures / Foods)
At Foods data source with browse to the file UserGroupDemo-Foods.xlsx and Select
In the green navigation bar, click Dietary exposures to go up one level
At Scope, click Substances (path: Dietary exposures / Substances)
At Substances data source with browse to the file UserGroupDemo-Substances.xlsx and Select
At Substance settings for Index substance select Cyproconazole and press Save Changes
In the green navigation bar, click Dietary exposures to go up one level
At Scope, click Effects (path: Dietary exposures / Effects)
At Effects data source with browse to the file Effect - Steatosis.xlsx and Select
At Effect Settings for focal effect select Steatosis-liver and press Save Changes
In the green navigation bar, click Dietary exposures to go up one level.
At Inputs, click Consumptions by modelled food (path: Dietary exposures / Consumptions by modelled food)
At Inputs, click Consumptions (path: Dietary exposures / Consumptions by modelled food / Consumptions)
At Consumptions data source with browse to the file UserGroupDemo-Consumptions.xlsx and Select
At Consumption settings for Food survey select DNFCS_2003 and press Save Changes
In the green navigation bar, click Consumptions by modelled food to go up one level
At Inputs, click Food conversions (path: Dietary exposures / Consumptions by modelled food / Food conversions)
At Inputs, click Foods as measured (path: Dietary exposures / Consumptions by modelled food / Food conversions / Foods as measured)
At Inputs, click Concentrations (path: Dietary exposures / Consumptions by modelled food / Food conversions / Foods as measured / Concentrations)
At Concentrations data source with browse to the file UserGroupDemo-ConcentrationData.xlsx and Select
In the green navigation bar, click Food conversions to go up two levels
At Inputs, click Food recipes (path: Dietary exposures / Consumptions by modelled food / Food Food recipes)
At Food recipes data source, with browse to the file UserGroupDemo-FoodRecipes.xlsx
In the green navigation bar, click Dietary exposures to go up three levels
At Inputs, click Concentration models (path: Dietary exposures / Concentration models)
At Inputs, click Relative potency factors (path: Dietary exposures / Concentration models / Relative potency factors)
At Relative potency data source with browse to the file UserGroupDemo-RelativePotencyFactors.xlsx and Select
In the green navigation bar, click Dietary exposures to go up two levels
At Inputs, click Processing factors (path: Dietary exposures / Processing factors)
At Processing factors data source with browse to the file UserGroupDemo-ProcessingFactors.xlsx and Select
In the green navigation bar, click Dietary exposures to go up one level
At Inputs, click Active substances (optional) (path: Dietary exposures / Active substances)
At Inputs, click Points of departure (path: Dietary exposures / Active substances / Points of departure)
At Points of departure data source, with browse to the file HazardDoses - Triazoles.xlsx
In the green navigation bar, click Dietary exposures to go up two levels
Now run the model, by pressing the run icon in the grey bar.
Try to find the following results:
Exposure percentiles daily intakes
Substance with highest contribution to the total exposure distribution
The food-as-measured with the highest contribution to the upper tail of the exposure distribution
Example 2
Repeat the run of the previous task, but instead of the nominal run, now do an uncertainty analysis loop.
Click on the icon (in the grey bar) to open the uncertainty settings panel, and check Perform uncertainty analysis
For Monte Carlo iterations per uncertainty run choose 100, and press Save Changes
Now run the model, by pressing the run icon in the grey bar.
Compare with the previous results, to find:
Exposure percentiles daily intakes with uncertainty bounds
Substance with highest contribution to the total exposure distribution
The food-as-measured with the highest contribution to the upper tail of the exposure distribution