MCRA Documentation
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User guide
Introduction to MCRA
User interface
Welcome page
Registering
Logging in
Setting up two-factor authentication
Authenticator apps
Google Authenticator
Microsoft Authenticator
Windows app: 2Fast Authenticator
Request an authenticator QR code
Main user interface
Data and calculation model
Modular design
Nominal run and uncertainty analysis
Variability diagnostics
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
Creating and uploading data files
Moving repositories and data sources
Repository access levels
Linking remote data repositories
Workspaces and actions
Workspace browser
Workspace overview page
Action area
Scoping: entity selection
Implicit versus explicit scoping
Comparing new data to set scopes
Standard action area
Creating a standard action
Standard action reports
Converting a standard action to a full action
Action zip files
MCRA web and core
MCRA core
MCRA web
Running MCRA core using the command line interface
Results panel
Examples
Cumulative dietary exposure assessment
Introduction
Preparation
Example 1
Example 2
Example 3
TDS-based exposure and risk assessment
Standard actions
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
Reference Manual
Modules
Primary entity modules
Effects
Effects from data
Effects calculation
Effects data formats
Effects settings
Selection settings
Foods
Foods from data
Foods data formats
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
Food unit weights
Consumer products
Consumer products from data
Consumer products data formats
Non-dietary exposure sources
Non-dietary exposure sources from data
Non-dietary exposure sources data formats
Populations
Populations from data
Populations calculation
Population definition from dietary surveys
Populations data selection
Populations data formats
Populations settings
Selection settings
Calculation settings
Uncertainty settings
Responses
Responses from data
Responses data formats
Substances
Substances from data
Substances data formats
Substances settings
Selection settings
Test systems
Test systems from data
Test systems data formats
Consumption modules
Consumptions
Consumptions from data
Consumptions calculation
Consumption population definition
Multiple surveys
Consumptions data formats
Consumptions settings
Selection settings
Calculation settings
Output settings
Uncertainty settings
Consumptions tiers
Overview
Retrospective dietary CRA (EC 2018) - Acute / Tier I
Retrospective dietary CRA (EC 2018) - Chronic / Tier I
Retrospective dietary CRA (EC 2018) - Acute / Tier II
Retrospective dietary CRA (EC 2018) - Chronic / Tier II
Retrospective dietary CRA (EFSA 2022) - Acute / Tier I
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I
Retrospective dietary CRA (EFSA 2022) - Acute / Tier II
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II
Prospective dietary CRA (EFSA 2023) - Acute / Tier II
Prospective dietary CRA (EFSA 2023) - Chronic / Tier II
Prospective dietary CRA (EFSA 2024) - Acute / Tier II
Prospective dietary CRA (EFSA 2024) - Chronic / Tier II
Consumptions uncertainty
Dust exposure determinants
Dust exposure determinants from data
Dust exposure determinants data formats
Soil exposure determinants
Soil exposure determinants from data
Soil exposure determinants data formats
Air exposure determinants
Air exposure determinants from data
Air exposure determinants data formats
Consumer product exposure determinants
Consumer product exposure determinants from data
Consumer product exposure determinants data formats
Consumer product use frequencies
Consumer product use frequencies from data
Consumer product use frequencies data formats
Consumer product use frequencies settings
Selection settings
Output settings
Food recipes
Food recipes from data
Food recipes data formats
Market shares
Market shares from data
Market shares data formats
Market shares and brand loyalty
Single value consumptions
Single value consumptions from data
Single value consumptions calculation
Single value consumptions data formats
Single value consumptions settings
Calculation settings
Occurrence modules
Concentration distributions
Concentration distributions from data
Concentration distributions data formats
Concentration limits
Concentration limits from data
Concentration limits data formats
Concentration models
Concentration models calculation
Concentration model types
Empirical model
Censored spike lognormal model
Censored-Spike Truncated lognormal model
Censored Lognormal model
Zero-spike censored lognormal model
Censored spike MRL model
Summary statistics model
Concentration models
Mixture zero spike and censored lognormal
Censored lognormal
Mixture censored spike and truncated lognormal
Mixture censored spike and lognormal
Imputation of non-detect measurements
No imputation
Impute all censored values by factor times LOQ
Impute censored values based on authorized uses
No imputation except for authorized uses
Deriving the variance of TDS samples from monitoring
Concentration models settings
Calculation settings
Uncertainty settings
Concentration models tiers
Overview
Retrospective dietary CRA (EC 2018) - Acute / Tier I
Retrospective dietary CRA (EC 2018) - Chronic / Tier I
Retrospective dietary CRA (EC 2018) - Acute / Tier II
Retrospective dietary CRA (EC 2018) - Chronic / Tier II
Retrospective dietary CRA (EFSA 2012) - Optimistic
Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic
Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic
Retrospective dietary CRA (EFSA 2022) - Acute / Tier I
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I
Retrospective dietary CRA (EFSA 2022) - Acute / Tier II
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II
Prospective dietary CRA (EFSA 2023) - Acute / Tier II
Prospective dietary CRA (EFSA 2023) - Chronic / Tier II
Prospective dietary CRA (EFSA 2024) - Acute / Tier II
Prospective dietary CRA (EFSA 2024) - Chronic / Tier II
Concentration models uncertainty
Concentrations
Concentrations from data
Concentrations calculation
Filter samples exceeding the concentration limits
Substance conversion
Use of substance authorisations in substance conversion
Multiple allocations of the same active substance in one sample
Food extrapolation
1. Substance-specific imputation of missing values by extrapolated measurements
1. Extrapolation of complete samples for multiple substances
Imputation of water concentrations
Focal commodity scenario analysis
Filter samples by specific sample properties
Concentrations data formats
Concentrations settings
Selection settings
Output settings
Uncertainty settings
Concentrations tiers
Overview
Retrospective dietary CRA (EC 2018) - Acute / Tier I
Retrospective dietary CRA (EC 2018) - Chronic / Tier I
Retrospective dietary CRA (EC 2018) - Acute / Tier II
Retrospective dietary CRA (EC 2018) - Chronic / Tier II
Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic
Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic
Retrospective dietary CRA (EFSA 2022) - Acute / Tier I
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I
Retrospective dietary CRA (EFSA 2022) - Acute / Tier II
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II
Prospective dietary CRA (EFSA 2023) - Acute / Tier II
Prospective dietary CRA (EFSA 2023) - Chronic / Tier II
Prospective dietary CRA (EFSA 2024) - Acute / Tier II
Prospective dietary CRA (EFSA 2024) - Chronic / Tier II
Concentrations uncertainty
Deterministic substance conversion factors
Deterministic substance conversion factors from data
Deterministic substance conversion factors data formats
Dust concentrations
Dust concentrations from data
Dust concentrations data formats
Dust concentrations settings
Uncertainty settings
Dust concentration distributions
Dust concentration distributions from data
Dust concentration distributions calculation
Dust concentration distributions data formats
Soil concentration distributions
Soil concentration distributions from data
Soil concentration distributions data formats
Soil concentration distributions settings
Uncertainty settings
Consumer product concentrations
Consumer product concentrations from data
Consumer product concentrations data formats
Consumer product concentrations settings
Output settings
Uncertainty settings
Consumer product concentration distributions
Consumer product concentration distributions from data
Consumer product concentration distributions calculation
Consumer product concentration distributions data formats
Consumer product concentration distributions settings
Uncertainty settings
Indoor air concentrations
Indoor air concentrations from data
Indoor air concentrations data formats
Indoor air concentrations settings
Uncertainty settings
Outdoor air concentrations
Outdoor air concentrations from data
Outdoor air concentrations data formats
Outdoor air concentrations settings
Uncertainty settings
Focal food concentrations
Focal food concentrations from data
Focal food concentrations data formats
Focal food concentrations settings
Selection settings
Calculation settings
Output settings
Food extrapolations
Food extrapolations from data
Food extrapolations data formats
Modelled foods
Modelled foods calculation
Modelled foods settings
Calculation settings
Occurrence frequencies
Occurrence frequencies from data
Occurrence frequencies calculation
Occurrence frequencies data formats
Occurrence frequencies Settings
Selection settings
Calculation settings
Uncertainty settings
Occurrence patterns
Occurrence patterns from data
Occurrence patterns calculation
Occurrence patterns data formats
Occurrence patterns settings
Selection settings
Calculation settings
Uncertainty settings
Occurrence patterns tiers
Overview
Retrospective dietary CRA (EC 2018) - Acute / Tier I
Retrospective dietary CRA (EC 2018) - Chronic / Tier I
Retrospective dietary CRA (EC 2018) - Acute / Tier II
Retrospective dietary CRA (EC 2018) - Chronic / Tier II
Retrospective dietary CRA (EFSA 2022) - Acute / Tier I
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I
Retrospective dietary CRA (EFSA 2022) - Acute / Tier II
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II
Prospective dietary CRA (EFSA 2023) - Acute / Tier II
Prospective dietary CRA (EFSA 2023) - Chronic / Tier II
Prospective dietary CRA (EFSA 2024) - Acute / Tier II
Prospective dietary CRA (EFSA 2024) - Chronic / Tier II
Processing factors
Processing factors from data
Processing factors calculation
Processing factors fixed or distribution based
Nonnegative processing factors
Processing factors between 0 and 1
Processing factors data formats
Processing factors settings
Calculation settings
Uncertainty settings
Processing factors tiers
Overview
Retrospective dietary CRA (EC 2018) - Acute / Tier I
Retrospective dietary CRA (EC 2018) - Chronic / Tier I
Retrospective dietary CRA (EC 2018) - Acute / Tier II
Retrospective dietary CRA (EC 2018) - Chronic / Tier II
Retrospective dietary CRA (EFSA 2012) - Optimistic
Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic
Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic
Retrospective dietary CRA (EFSA 2022) - Acute / Tier I
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I
Retrospective dietary CRA (EFSA 2022) - Acute / Tier II
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II
Prospective dietary CRA (EFSA 2023) - Acute / Tier II
Prospective dietary CRA (EFSA 2023) - Chronic / Tier II
Prospective dietary CRA (EFSA 2024) - Acute / Tier II
Prospective dietary CRA (EFSA 2024) - Chronic / Tier II
Processing factors uncertainty
Single value concentrations
Single value concentrations from data
Single value concentrations calculation
Single value concentrations data formats
Single value concentrations settings
Selection settings
Substance authorisations
Substance authorisations from data
Substance authorisations data formats
Substance approvals
Substance approvals from data
Substance approvals data formats
Substance conversions
Substance conversions from data
Substance conversions data formats
Total diet study sample compositions
Total diet study sample compositions from data
Total diet study sample compositions data formats
Unit variability factors
Unit variability factors from data
Unit variability factors data formats
Unit variability factors
Calculation settings
Unit variability factors tiers
Overview
Retrospective dietary CRA (EC 2018) - Acute / Tier I
Retrospective dietary CRA (EC 2018) - Acute / Tier II
Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic
Retrospective dietary CRA (EFSA 2022) - Acute / Tier I
Retrospective dietary CRA (EFSA 2022) - Acute / Tier II
Prospective dietary CRA (EFSA 2023) - Acute / Tier II
Prospective dietary CRA (EFSA 2024) - Acute / Tier II
Exposure modules
Consumptions by modelled food
Consumptions by modelled food calculation
Consumptions by modelled food settings
Calculation settings
Output settings
Dietary exposures
Dietary exposures calculation
Acute exposure assessment
Modelling unit-to-unit variation
Estimation of intake values using the concept of unit variability
Beta distribution
Lognormal distribution
Bernoulli distribution
Chronic exposure assessment
Chronic exposure models
Observed individual means (OIM)
Model based and model assisted
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
Total Diet Study
TDS reduction to limit scenario analysis
Substance concentrations generation
Sample-based concentrations generation
Substance-based concentrations generation
Processing correction
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
Dietary exposures settings
Selection settings
Calculation settings
Output settings
Uncertainty settings
Dietary exposures tiers
Overview
Retrospective dietary CRA (EC 2018) - Acute / Tier I
Retrospective dietary CRA (EC 2018) - Chronic / Tier I
Retrospective dietary CRA (EC 2018) - Acute / Tier II
Retrospective dietary CRA (EC 2018) - Chronic / Tier II
Retrospective dietary CRA (EFSA 2012) - Optimistic
Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic
Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic
Retrospective dietary CRA (EFSA 2022) - Acute / Tier I
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I
Retrospective dietary CRA (EFSA 2022) - Acute / Tier II
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II
Prospective dietary CRA (EFSA 2023) - Acute / Tier II
Prospective dietary CRA (EFSA 2023) - Chronic / Tier II
Prospective dietary CRA (EFSA 2024) - Acute / Tier II
Prospective dietary CRA (EFSA 2024) - Chronic / Tier II
Dust exposures
Dust exposures calculation
Calculation of dermal exposures
Calculation of oral exposures
Dust exposures settings
Calculation settings
Output settings
Uncertainty settings
Soil exposures
Soil exposures calculation
Soil exposures calculation details
Oral exposure
Soil exposures settings
Calculation settings
Output settings
Uncertainty settings
Air exposures
Air exposures calculation
Air exposures calculation details
Inhalation exposure
Air exposures settings
Calculation settings
Output settings
Uncertainty settings
Consumer product exposures
Consumer product exposures calculation
Consumer product exposures calculation details
Consumer product exposure
Consumer product exposures settings
Calculation settings
Output settings
Uncertainty settings
Individuals
Individuals from data
Individuals calculation
Individuals data formats
Individuals settings
Calculation settings
Uncertainty settings
High exposure food substance combinations
High exposure food substance combinations calculation
Screening calculation for large Cumulative Assessment Groups
Statistical model for the screening step (acute exposure)
Statistical model for the screening step (chronic exposure)
High exposure food substance combinations settings
Calculation settings
Internal exposures
Internal exposures calculation
Calculation of internal doses using absorption factors
Calculation of internal concentrations using kinetic conversion factors
Calculation of internal concentrations using PBK models
Dosing patterns
Non-stationary period
Combining exposure sources
Non-dietary exposures
Example 1
Example 2
Example 3
Counting of co-exposure
Maximum Cumulative Ratio
Risk based, standardised or unweighted exposures
Internal exposures settings
Calculation settings
Output settings
Uncertainty settings
Exposure mixtures
Exposure mixtures calculation
Risk based, standardised or unweighted exposures
Sparse nonnegative matrix underapproximation
Exposure matrix
Mechanisms to influence sparsity
Substance contributions to components
Component exposures in population and subgroups
Network analysis
Exposure mixtures settings
Calculation settings
Food conversions
Food conversions calculation
Substance independent conversion
Substance dependent conversion
Food conversion settings
Calculation settings
Food conversions tiers
Overview
Retrospective dietary CRA (EC 2018) - Acute / Tier I
Retrospective dietary CRA (EC 2018) - Chronic / Tier I
Retrospective dietary CRA (EC 2018) - Acute / Tier II
Retrospective dietary CRA (EC 2018) - Chronic / Tier II
Retrospective dietary CRA (EFSA 2012) - Optimistic
Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic
Retrospective dietary CRA (EFSA 2022) - Acute / Tier I
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I
Retrospective dietary CRA (EFSA 2022) - Acute / Tier II
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II
Prospective dietary CRA (EFSA 2023) - Acute / Tier II
Prospective dietary CRA (EFSA 2023) - Chronic / Tier II
Prospective dietary CRA (EFSA 2024) - Acute / Tier II
Prospective dietary CRA (EFSA 2024) - Chronic / Tier II
Biological matrix concentration comparisons
Biological matrix concentration comparisons calculation
Biological matrix concentration comparisons settings
Calculation settings
Output settings
Exposure biomarker conversions
Exposure biomarker conversions from data
Exposure biomarker conversions data formats
Exposure biomarker conversions
Calculation settings
HBM analysis
HBM analysis calculation
Imputation of censored values
Imputation of missing values
Standardise blood for lipid content
Standardise/normalise urine for creatinine or specific gravity
Combine urine from different sampling methods
Filter for complete cases
Apply exposure biomarker conversion of substance concentrations
Apply kinetic conversion of substance concentrations from other biological matrices
Calculation of acute human monitoring concentrations
Calculation of chronic human monitoring concentrations
HBM analysis settings
Calculation settings
Output settings
Uncertainty settings
HBM concentrations
HBM concentrations from data
Selection on sampling method
Filter on repeated measurements
Excluded substances from sampling method
Use complete analysed samples
Use sampling weights
HBM concentrations data formats
PARC harmonised HBM data format
HBM concentrations settings
Selection settings
Output settings
Uncertainty settings
Non-dietary exposures
Non-dietary exposures from data
Non-dietary exposures data formats
Non-dietary exposures settings
Calculation settings
Uncertainty settings
Non-dietary exposures uncertainty
Single value dietary exposures
Single value dietary exposures calculation
Acute single value dietary exposure assessment
IESTI (International Estimated Short-Term Intake)
Alternative IESTI-styled assessments
IESTI special cases
Chronic single value dietary exposure assessment
TMDI (Theoretical Maximum Dietary Intake)
IEDI (International Estimated Dietary Intake)
NEDI (National Estimated Dietary Intake): Rees-Day model (I)
NEDI (National Estimated Dietary Intake): Rees-Day model (II)
Alternative TMDI-, IEDI- or NEDI-styled assessments
Single value dietary exposures data formats
Single value dietary exposures settings
Selection settings
Calculation settings
Output settings
Uncertainty settings
Single value non-dietary exposures
Single value non-dietary exposures from data
Single value non-dietary exposures calculation
Acute single value non-dietary exposure assessment
Chronic single value non-dietary exposure assessment
Single value non-dietary exposures data formats
Single value non-dietary exposures settings
Selection settings
Calculation settings
HBM single value exposures
HBM single value exposures from data
HBM single value exposures data formats
HBM single value exposures settings
Selection settings
Output settings
Uncertainty settings
Hazard modules
Active substances
Active substances from data
Active substances calculation
Active substances data formats
Active substances settings
Selection settings
Calculation settings
Uncertainty settings
AOP networks
AOP networks from data
AOP Networks calculation
AOP networks data formats
AOP networks settings
Selection settings
Burden of disease
Burden of disease from data
Burden of disease data formats
Burden of disease settings
Calculation settings
Uncertainty settings
Dose response data
Dose response data from data
Dose response data data formats
Dose response data settings
Selection settings
Dose response models
Dose response models from data
Dose response models calculation
Proast models
Dose response models data formats
Dose response models settings
Calculation settings
Uncertainty settings
Effect representations
Effect representations from data
Effect representations data formats
Effect representations settings
Calculation settings
Exposure response functions
Exposure response functions from data
Exposure response functions data formats
Exposure response functions settings
Calculation settings
Uncertainty settings
Hazard characterisations
Hazard characterisations from data
Hazard characterisations calculation
Hazard characterisation type extrapolation
Inter-species extrapolation
Intra-species extrapolation of hazard characterisations
Additional assessment factors
In-vitro in-vivo extrapolation (IVIVE)
IVIVE for calculating internal hazard characterisations
IVIVE for calculating external hazard characterisations
Absorption or kinetic conversion of hazard characterisations
Extrapolation from external to internal hazard characterisations
Calculation of internal doses using absorption factors
Calculation of internal concentration using human PBK models
Calculation of internal doses using animal PBK 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 data formats
Hazard characterisations settings
Selection settings
Calculation settings
Uncertainty settings
Hazard characterisations tiers
Overview
Retrospective dietary CRA (EC 2018) - Acute / Tier I
Retrospective dietary CRA (EC 2018) - Chronic / Tier I
Retrospective dietary CRA (EC 2018) - Acute / Tier II
Retrospective dietary CRA (EC 2018) - Chronic / Tier II
Retrospective dietary CRA (EFSA 2012) - Optimistic
Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic
Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic
Retrospective dietary CRA (EFSA 2022) - Acute / Tier I
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I
Retrospective dietary CRA (EFSA 2022) - Acute / Tier II
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II
Prospective dietary CRA (EFSA 2023) - Acute / Tier II
Prospective dietary CRA (EFSA 2023) - Chronic / Tier II
Prospective dietary CRA (EFSA 2024) - Acute / Tier II
Prospective dietary CRA (EFSA 2024) - Chronic / Tier II
Inter-species conversions
Inter-species conversions from data
Inter-species conversions data formats
Inter-species conversions settings
Selection settings
Calculation settings
Uncertainty settings
Intra species factors
Intra species factors from data
Intra species factors calculation
Intra-species factors data formats
Intra species factors settings
Selection settings
Calculation settings
Uncertainty settings
Points of departure
Points of departure from data
Points of departure data formats
Points of departure settings
Selection settings
Uncertainty settings
Relative potency factors
Relative potency factors from data
Relative potency factors calculation
Relative potency factors data formats
Relative potency factors settings
Calculation settings
Uncertainty settings
In-silico modules
Molecular docking models
Molecular docking models from data
Molecular docking models data formats
Molecular docking models
Calculation settings
QSAR membership models
QSAR membership models from data
QSAR membership models data formats
QSAR membership models
Calculation settings
Kinetic modules
Absorption factors
Absorption factors from data
Absorption factors data formats
Absorption factors settings
Calculation settings
Kinetic conversion factors
Kinetic conversion factors from data
Kinetic conversion factors data formats
Kinetic conversion factors settings
Calculation settings
Uncertainty settings
PBK model parametrisations
PBK model parametrisations from data
PBK model parametrisations data formats
PBK model parametrisations settings
Calculation settings
Uncertainty settings
Available kinetic models
EuroMix Bisphenols PBPK model (v1)
EuroMix Bisphenols PBPK model (v2)
EuroMix Generic PBTK model (v5)
EuroMix Generic PBTK model (v6)
PBK model chlorpyrifos (v1)
EuroMix generic PBK model
Bisphenol model
PBK model definitions
PBK model definitions from data
PBK model definitions data formats
Risk modules
Environmental burden of disease
Environmental burden of disease calculation
Environmental burden of disease settings
Selection settings
Calculation settings
Uncertainty settings
Risks
Risks calculation
Risk metric calculation type
Inverse distribution
Risk by food
Risks settings
Calculation settings
Output settings
Uncertainty settings
Risks tiers
Overview
Retrospective dietary CRA (EC 2018) - Acute / Tier I
Retrospective dietary CRA (EC 2018) - Chronic / Tier I
Retrospective dietary CRA (EC 2018) - Acute / Tier II
Retrospective dietary CRA (EC 2018) - Chronic / Tier II
Retrospective dietary CRA (EFSA 2012) - Optimistic
Retrospective dietary CRA (EFSA 2012) - Acute / Pessimistic
Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic
Retrospective dietary CRA (EFSA 2022) - Acute / Tier I
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I
Retrospective dietary CRA (EFSA 2022) - Acute / Tier II
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II
Prospective dietary CRA (EFSA 2023) - Acute / Tier II
Prospective dietary CRA (EFSA 2023) - Chronic / Tier II
Prospective dietary CRA (EFSA 2024) - Acute / Tier II
Prospective dietary CRA (EFSA 2024) - Chronic / Tier II
Single value risks
Single value risks calculation
Combining single value exposures and hazard characterisations
Single value risks from individual risks
Adjustment factors and uncertainty specification
Background-only adjustment factor
Single value risks settings
Calculation settings
Uncertainty settings
Single value risks tiers
Overview
Retrospective dietary CRA (EC 2018) - Acute / Tier I
Retrospective dietary CRA (EC 2018) - Chronic / Tier I
Retrospective dietary CRA (EC 2018) - Acute / Tier II
Retrospective dietary CRA (EC 2018) - Chronic / Tier II
Retrospective dietary CRA (EFSA 2022) - Acute / Tier I
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I
Retrospective dietary CRA (EFSA 2022) - Acute / Tier II
Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II
Prospective dietary CRA (EFSA 2023) - Acute / Tier II
Prospective dietary CRA (EFSA 2023) - Chronic / Tier II
Prospective dietary CRA (EFSA 2024) - Acute / Tier II
Prospective dietary CRA (EFSA 2024) - Chronic / Tier II
Standard actions
Acute single substance dietary exposure assessment of carbofuran or chlorpyrifos
Chronic cumulative exposure assessment PA
Chronic cumulative exposure assessment PFAS
Chronic mixture risk assessment of metals
Chronic single substance dietary exposure assessment of lead or atropine
Demo Human Monitoring Analysis bisphenols
Demo acute cumulative risk assessment
Long-term dietary exposure and risk of nickel for the Belgian population
Risk steatosis from imazalil
TDS-based long term dietary exposure and risk assessment
TDS-based long-term exposure and risk assessment of methylmercury for German children
Introduction
Standard action options
Standard action data
Training prospective risk assessment acute Tier II
Training prospective risk assessment chronic Tier II
Training substance prioritisation acute neuro
Standard regulatory actions
EU Prospective Dietary Cumulative Risk Assessment (2025)
EU Retrospective Dietary Cumulative Risk Assessment (2025)
Old SRA versions
EU Prospective Dietary Cumulative Risk Assessment (2024)
EU Retrospective Dietary Cumulative Risk Assessment (2024)
EU Prospective Dietary Cumulative Risk Assessment (2023)
EU Retrospective Dietary Cumulative Risk Assessment (2023)
Acute Cumulative Risk Assessment Craniofacial Alterations (EFSA 2022)
EU acute cumulative exposure assessment (2018) Tier I and Tier II
EU chronic cumulative exposure assessment (2018) Tier I and Tier II
Type and Unit definitions
Adjustment factor distribution method types
Age alignment method
Application amount unit
Assessment group membership calculation methods
Benchmark response type
Biological matrix
Biological organisation type
Biomarker conversion distribution type
BoD Indicator
Body weight unit
Boolean type
Burden of disease approach
Burden of disease indicator uncertainty distribution types.
Cluster method type
Combination method membership info and PoD presence types
Concentration limit value type
Concentration model types
Concentration unit
Concentration value type
Concentration volume unit
Consumer product application amount distribution types.
Consumer product concentration uncertainty distribution types.
Consumption intake unit
Consumption unit
Consumption value type
Counter factual value uncertainty distribution types.
Covariate model types
Dietary exposures details level types
Dose response model type
Dose unit
Dust adherence amount uncertainty distribution types.
Dust availability fraction uncertainty distribution types.
Dust body exposure fraction uncertainty distribution types.
Dust concentration uncertainty distribution types.
Dustingestion uncertainty distribution types.
Effect metric
Environmental burden of disease standardisation method
Estimates nature types
Exposure approach types
Exposure calculation method
Exposure events and dose generation
Exposure grouping method
Exposure method types
Exposure path type
Exposure response specification uncertainty distribution types.
Exposure response type
Exposure route
Exposure source
Exposure type
Expression type
External exposure unit
Focal commodity replacement method types
Function types
Harvest application type
Hazard characterisation type
Hazard characterisations calculation method types
Hazard dose imputation method types
Health effect types
Individual generation method
Individual generation method
Individual generation method
Individual property type
Individual subset types
Intake model types
Internal model type
Isced type
Job task type
Kinetic conversion factor uncertainty distribution types.
Kinetic conversion method type
Left-censored data handling methods
Mean value correction types
Measurement result type
Missing value imputation method types
Modelled foods calculation source types
Month type
Multiple substance handling method types
Network analysis type
Nondetect imputation method types
PBK model compartment type
PBK model parameter distribution types.
PBK model parameter type
PBK model species type
PBK output resolution time unit
PBK simulation methods
Point of departure type
Point of departure types
Population alignment method
Population characteristic distribution types.
Population characteristic type
Population size uncertainty distribution types.
Processing distribution type
Property level type
Response type
Risk characterisation ratio
Riskmetric calculation types
Selected exposure routes
Sex type
Single value dietary exposures calculation method types
Single value risk calculation method types
Soilingestion uncertainty distribution types.
Standardise blood methods
Standardise/normalise urine concentration method
Substance group selection method types
Substance translation allocation method types
Target dose selection method types
Target level type
Test system type
Testing method types
Time unit
Transform types
Uncertainty types
Unit variability correlation types
Unit variability model types
Unit variability types
Unit weight value type
Value qualifier
Ventilatory flow rate variability distribution types.
Within bin exposure representation method
Application Programming Interface (API)
Command Line Interface (CLI)
Introduction
Action template structure
Create a new action template
Run an action
Output files and folder structure
Appendices
NOEL collection of Munro et al.
Box-Cox power transformation
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
Distributions
Uniform distribution
Lognormal distribution
Beta distribution
InverseUniform distribution
Glossary
Bibliography
Publications using MCRA
References
Colophon
Contributors to MCRA
Change Log
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MCRA Documentation
Modules
Occurrence modules
Dust concentrations
Dust concentrations from data
Dust concentrations from data