MCRA Documentation
Download as PDF
Contents
About the toolbox
Data and calculation model
Modular design
Nominal run and uncertainty analysis
Retain & Refine and tiered approaches
Uncertainty
Uncertainty due to limited sampled data
Empirical method, resampling
Parametric methods
Uncertainty due to missing data
Uncertainty due to modelling approach
Data repository
Repository access levels
Linking remote data repositories
Workspaces and actions
Workspace browser
Workspace overview page
Action configuration pages
Scoping and data selection
Modules
Primary entity modules
Effects
Effects settings
Selection settings
Effects data formats
Effects
Foods
Foods data formats
Foods
Food coding systems
Food classification: FoodEx1
Food code definition
Food codes in consumption surveys
Food codes in concentration data
Food processing
Recipes and food translation
Market shares and brand loyalty
Supertypes
Maximum Residue Levels
MCRA food code conversion algorithm
Food classification: FoodEx2
Foods and food hierarchies
Facets and facet descriptors
Implicit facets
Foods as facets
The FoodEx 2 coding system
FoodEx2
Reading and dealing with FoodEx 2 codes
Reading and dealing with facets data
Reading facets data
Dealing with facets
Facets in food conversion
Using facets that reveal processing data
Food hierarchies
Reading and dealing with food hierarchy data
Reading food hierarchy data
Using food hierarchies for food conversion
Using hierarchy data in the output
Populations
Populations settings
Selection settings
Populations data formats
Populations
Responses
Responses settings
Selection settings
Responses data formats
Responses
Substances
Substances settings
Selection settings
Substances data formats
Substances
Test systems
Test systems data formats
Test Systems
Consumption modules
Consumptions
Consumptions settings
Selection settings
Uncertainty settings
Consumptions data formats
Consumptions
Consumptions uncertainty
Food recipes
Food recipes data formats
Food recipes
Market shares
Market shares data formats
MarketShares
Market shares and brand loyalty
Occurrence modules
Concentration limits
Concentration limits data formats
Concentration limits
Concentration models
Concentration models calculation
Concentration model types
Empirical model
Non-detect spike lognormal model
Non-Detect-Spike Truncated lognormal model
Censored Lognormal model
Zero-spike censored lognormal model
Non-detect spike MRL model
Summary statistics model
Imputation
No imputation
Impute all nondetects
Impute nondetects based on authorized uses
No imputation except for authorized uses
Concentration models settings
Calculation settings
Uncertainty settings
Concentration models tiers
Overview
EFSA 2012 Optimistic
EFSA 2012 Pessimistic
EC 2018 Tier 1
EC 2018 Tier 2
Concentration models uncertainty
Concentrations
Concentrations calculation
Substance conversion
Use of substance authorisations in substance conversion
Food extrapolation
1. Substance-specific imputation of missing values by extrapolated measurements
2. Extrapolation of complete samples for multiple substances
Water imputation
Concentrations settings
Selection settings
Uncertainty settings
Concentrations tiers
Overview
EC 2018 Tier 1
EC 2018 Tier 2
Concentrations data formats
Concentration data
Concentrations uncertainty
Focal food concentrations
Focal food concentrations data formats
Food extrapolations
Food extrapolations data formats
Food extrapolations
Foods as measured
Foods as measured calculation
Foods as measured settings
Calculation settings
Occurrence patterns
Occurrence patterns calculation
Occurrence patterns settings
Selection settings
Uncertainty settings
Occurrence patterns tiers
Overview
EC 2018 Tier 1
EC 2018 Tier 2
Occurrence patterns data formats
Agricultural uses
Processing factors
Processing factors settings
Uncertainty settings
Processing factors data formats
Processing factors
Processing factors uncertainty
Substance authorisations
Substance authorisations data formats
Substance authorisations
Substance conversions
Substance conversions data formats
Substance conversions
Total diet study sample compositions
Total diet study sample compositions data formats
Total diet study data
Total diet study sample compositions uncertainty
Unit variability factors
Unit variability factors data formats
Unit variability factors
Exposure modules
Consumptions per food as measured
Consumptions by food-as-measured calculation
Consumptions by food as measured
Calculation settings
Dietary exposures
Dietary exposures calculation
Acute exposure assessment
Modelling unit to unit variation
Estimation of intake values using the concept of unit variability
Chronic exposure assessment
Model based and model assisted
Observed individual means (OIM)
Betabinomial-Normal model (BBN)
Logisticnormal-Normal model (LNN with and without correlation)
Discrete/semi-parametric model (ISUF)
Model-Then-Add
The Model step
The Add step
Chronic exposure as a function of covariates
Substance concentrations generation
Sample-based concentrations generation
Substance-based concentrations generation
Processing factor correction
Nonnegative processing factors
Processing factors between 0 and 1
Modelling unit to unit variation
Estimation of intake values using the concept of unit variability
Dietary exposures with screening
Total Diet Study
Scenario analysis
Read across versus TDS compositions
Dietary exposures settings
Calculation settings
Output settings
Uncertainty settings
Dietary exposures tiers
Overview
EFSA 2012 Optimistic
EFSA 2012 Pessimistic
EC 2018 Tier 1
EC 2018 Tier 2
Dietary exposures with screening
Dietary exposures with screening calculation
Dietary exposures with screening settings
Calculation settings
Exposures
Exposures calculation
Combining dietary and non-dietary exposures
Example 1
Example 2
Example 3
Internal exposures calculation
Calculation of internal concentrations using absorption factors
Calculation of internal concentrations using kinetic models
Dosing patterns
Non-stationary period
Counting of co-exposure
Maximum Cumulative Ratio
Exposures settings
Calculation settings
Output settings
Uncertainty settings
Exposure mixtures
Exposure mixtures calculation
Sparse nonnegative matrix underapproximation
Exposure matrix
Mechanisms to influence sparsity
Exposure mixtures settings
Calculation settings
Food conversions
Food conversions calculation
Food conversion settings
Calculation settings
Human monitoring analysis
Human monitoring analysis calculation
Imputation of non-detects
Imputation of missing values
Calculation of acute human monitoring concentrations
Calculation of chronic human monitoring concentrations
Compare measured and modelled exposures
Human monitoring analysis settings
Calculation settings
Human monitoring data
Human monitoring data settings
Selection settings
Human monitoring data data formats
Human monitoring samples
Non-dietary exposures
Non-dietary exposures settings
Uncertainty settings
Non-dietary exposures data formats
Non-dietary exposures
Non-dietary exposures uncertainty
Hazard modules
Active substances
Active substances calculation
Active substances settings
Calculation settings
Uncertainty settings
Active substances data formats
Assessment group membership models
AOP networks
AOP networks settings
Selection settings
AOP networks data formats
AOP networks
Dose response data
Dose response data settings
Selection settings
Dose response data data formats
Dose response data
Dose response models
Dose response models calculation
Dose response models data formats
Dose response models
Effect representations
Effect representations data formats
Effect representations
Effect representations data formats
Effect representations
Hazard characterisations
Hazard characterisations calculation
Hazard characterisation type extrapolation
Inter-species extrapolation
Intra-species extrapolation of hazard characterisations
In-vitro in-vivo extrapolation (IVIVE)
IVIVE for calculating internal hazard characterisations
IVIVE for calculating external hazard characterisations
Kinetic conversion of hazard characterisations
Extrapolation from external to internal hazard characterisations
Calculation of internal doses using absorption factors
Calculation of internal doses using human PBPK models
Calculation of internal doses using animal PBPK models
Extrapolation from internal to external hazard characterisations
Hazard characterisation imputation
Munro P5 (TTC approach)
Munro central value
Available hazard characterisations distribution P5
Available hazard characterisations distribution central value
Aggregation over multiple available hazard characterisations
Hazard characterisations settings
Calculation settings
Output settings
Uncertainty settings
Inter-species conversions
Inter-species conversions settings
Selection settings
Uncertainty settings
Inter-species conversions data formats
Inter-species conversions
Intra species factors
Intra species factors settings
Selection settings
Intra-species factors data formats
Intra-species factors
Points of departure
Points of departure settings
Uncertainty settings
Points of departure data formats
Points of departure
Relative potency factors
Relative potency factors calculation
Relative potency factors settings
Uncertainty settings
Relative potency factors data formats
Relative potency factors
In-silico modules
Molecular docking models
Molecular docking models data formats
Molecular docking models
QSAR membership models
QSAR membership models data formats
QSAR membership models
Kinetic modules
Kinetic models
Kinetic models settings
Calculation settings
Uncertainty settings
Kinetic models data formats
Kinetic models
Available kinetic models
EuroMix generic PBTK model
Bisphenol model
Risk modules
Risks
Risks calculation
Risks settings
Calculation settings
Examples
Cumulative dietary exposure assessment
Introduction
Preparation
Example 1
Example 2
Aggregate exposure assessment
Introduction
Preparation
Example 1
Example 2
Hazard characterisations from PoDs
Introduction
Preparation
Example 1
Health impact estimates
Introduction
Preparation
Example 1
Assessment group membership probabilities
Introduction
Preparation
Example 1
Example 2
References
Appendices
Munro collection
Unit definitions
Benchmark response types
Body weight units
Concentration units
Consumption units
Dose response model types
Dose units
Exposure units
Exposure route types
Point of departure types
Response types
Test system types
Transformations
Box Cox power transformation
Gauss-Hermite
Gauss-Hermite integration
One-dimensional Gauss-Hermite integration
Two-dimensional Gauss-Hermite integration
Maximum likelihood for the LNN model with two-dimensional Gauss-Hermite integration
Concentration models
Mixture zero spike and censored lognormal
Censored lognormal
Mixture non-detect spike and truncated lognormal
Mixture non-detect spike and lognormal
Chronic exposure assessment, daily consumed foods
Model based usual intake
Model based usual intake on the transformed scale
Model based using a logarithmic transformation
Model based using a power transformation
Model assisted usual intake on the transformed scale
Model assisted using a logarithmic transformation
Model assisted using a power transformation
Chronic exposure assessment, episodically consumed foods
Beta-Binomial model for frequencies (BBN)
Model based frequencies for usual intake
Model assisted frequencies for usual intake
Logistic-Normal model for frequencies (LNN0)
Model based frequencies for usual intake
Model assisted frequencies for usual intake
Logistic-Normal model for frequencies correlated with amounts (LNN)
Model based usual intake.
Model assisted usual intake.
Unit variability
Beta distribution
Lognormal distribution
Bernoulli distribution
Screening calculation for large Cumulative Assessment Groups
Statistical model for the screening step (acute exposure)
Statistical model for the screening step (chronic exposure)
Colophon
Contributors to MCRA
MCRA Documentation
Docs
»
Modules
»
Primary entity modules
»
Substances
»
Substances settings
Substances settings
¶
Selection settings
¶
Table 18
Selection settings for module Substances.
¶
Name
Description
Index substance
The substance of interest or index substance.