Risks settings

Calculation settings

Table 241 Calculation settings for module Risks.
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 characterization 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.
Internal concentration
InternalConcentrationType Internal concentrations are derived form dietary and/or non-dietary concentrations and aggregated using a kinetic or absorption factor model or are human monitoring concentrations.
Cumulation setting
RiskMetricCalculationType Specify method for computing cumulative risks of multiple substances (e.g., via RPF weighted exposures or as a sum of ratios).

Output settings

Table 242 Output settings for module Risks.
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).
Include drill-down on 9 individuals around specified percentile.

Boolean

Specifies whether drilldown on 9 individuals is to be included in the output.
Summarize simulated data

Boolean

Specifies whether a summary of the simulated consumptions and concentrations should be included in the output.
Store simulated individual day exposures

Boolean

Store the simulated individual day exposures. If unchecked, no additional output will be generated. If checked, the output will contain an additional section with the simulated individual day exposures.
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.