Risks settings
Calculation settings
| Name | Type | Description |
|---|---|---|
Risk calculation tier
|
Risks tier | Specifies the module settings should be set according to a pre-defined tier or using custom settings. |
Exposure type
|
ExposureType | The type of exposure considered in the assessment; acute (short term) or chronic (long-term). |
Multiple substances analysis
|
Boolean |
Specifies whether the assessment involves multiple substances. |
Compute cumulative risks
|
Boolean |
Specifies whether to compute the combined/cumulative risk over all substances. |
Health effect type
|
HealthEffectType | Specifies whether the health effect is a risk (negative) or benefit (positive). |
Risk characterisation ratio
|
RiskMetricType | Report risks in terms of the ratio exposure/hazard (e.g., HI, HQ, RPI) or as hazard/exposure (e.g., MOE(T)). |
Show equivalent animal dose output
|
Boolean |
Specifies whether equivalent animal doses should be reported in the output. |
Risk threshold
|
Numeric |
Threshold for interpretation of the risk metric. For instance, for the Margin of Exposure (MOE) a threshold of 100 is commonly used and for the Hazard Index (HI) the threshold is usually 1. |
Use inverse distribution to calculate percentile
|
Boolean |
Calculate percentile via the complementary percentage of the inverse distribution (default: no). Description: E.g., P0.1 of MOE(T) distribution is calculated via P99.9 of 1/MOE(T) distribution. Note: This option is provided because percentile calculation in small data sets is asymmetric in both tails. |
Target level
|
TargetLevelType | Select to express hazard characterisations at external or internal exposure level. For an aggregate assessment, that is dietary and nondietary exposure data are combined, the target dose level is always internal. When only dietary exposures are available, the target dose level is optional, i.c. external or internal. |
Calculate risks by modelled foods, substances or a combination of the two
|
Boolean |
When the dose target level is external, dietary exposures are directly used as input to risks. Dietary exposures preserve the information of exposure by modelled foods, substances or the combination. Summarizing this information may time consuming. |
Exposure calculation method
|
ExposureCalculationMethod | Method for obtaining exposure estimates. These can be modelled exposures (e.g., external (dietary) exposures or internal exposure estimates obtained by aggregating dietary and non-dietary exposures) or exposure estimates derived from human (bio)monitoring data. |
Cumulation setting
|
RiskMetricCalculationType | Specify method for computing cumulative risks of multiple substances (e.g., via RPF weighted exposures or as a sum of ratios). |
Perform MCR analysis
|
Boolean |
Perform a Maximum Cumulative Ratio (MCR) analysis to determine co-exposure between substances. |
Substance weighting in mixtures
|
ExposureApproachType | Risk based: exposures in equivalents of the reference substance; standardised: standardised exposures per substance have variance 1; or unweighted exposures: RPFs are equal to 1. |
Display ratio total exposure/ maximum (in MCR plot)
|
Numeric |
For MCR plot: specify ratio total exposure/ maximum for individual(day) exposures . |
Show tail percentiles (MCR plot) for:
|
AlphaNumeric |
Give specific percentiles of exposure distribution (%), e.g. 97.5 99 (space separated). |
Set minimum percentage contribution per substance to the tail exposure (MCR plot)
|
Numeric |
Set minimum percentage contribution per substance to the tail exposure. |
Output settings
| Name | Type | Description |
|---|---|---|
Left margin safety plot
|
Numeric |
Left margin of the risk value in risk characterisation plots / safety charts. |
Right margin safety plot
|
Numeric |
Right margin of the risk value in risk characterisation plots / safety charts. |
Number of plot labels
|
Numeric |
Maximum number of labels to plot in hazard versus exposure plot. |
Number of substances in hazard vs. exposure plot
|
Numeric |
Maximum number of substances to plot in hazard vs exposure plot. |
Inclusion percentage variability interval
|
Numeric |
The central percentage of the variability distribution to include in intervals for exposure, hazard and MOE (e.g. 90 means p5-p95). |
Exclude privacy sensitive data from outputs
|
Boolean |
Use this setting to not report the parts of the results (i.e., figures, tables, or sections) that are marked as (potentially) privacy sensitive. |
Include drill-down on 9 individuals around specified percentile
|
Boolean |
Specifies whether drilldown on 9 individuals is to be included in the output. |
Show percentiles for
|
AlphaNumeric |
Give specific percentiles of exposure distribution (%), e.g. 50 90 95 97.5 99 (space separated). |
Percentage for drilldown
|
Numeric |
Gives detailed output for nine individuals near this percentile of the exposure distribution. |
Percentage for upper tail
|
Numeric |
Gives detailed output for this upper percentage of the exposure distribution. |
Number of levels of covariable to predict exposure
|
Numeric |
Specify the number of levels, e.g. 20. The range of the covariable is divided by the number of levels: range = (max - min)/levels. For these covariable levels exposures are predicted. |
Predict exposure at extra covariable levels
|
Numeric |
Specify specific prediction levels in addition to the automatically generated prediction levels (space separated). |
Lower percentage for variability (%)
|
Numeric |
The default value of 25% may be overruled. |
Upper percentage for variability (%)
|
Numeric |
The default value of 75% may be overruled. |
Report consumptions and exposures per individual instead of per kg body weight
|
Boolean |
Specifies whether body weights should be ignored and consumptions and exposures should be expressed per individual. Otherwise, the consumptions and exposures are per kg body weight. |