Risks settings

Calculation settings

Table 352 Calculation settings for module Risks.
Name Type Description
Selected tier

SettingsTemplateType

Specifies all module settings should be set according to a pre-defined tier or using custom settings.
Seed for pseudo-random number generator

Numeric

A value of 0 will use a pseudo-random seed in each run, a value > 0 will provide the same results in a repeated run.
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.
Include dietary and non-dietary routes of exposure

Boolean

Specifies whether the assessment involves both dietary and non-dietary (oral, inhalatory or dermal) routes of exposure.
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.
Cutoff MCR

Numeric

For selection of individual(day) exposures with maximum cumulative ratio (MCR = total exposure/maximum) above the cutoff.
Cutoff percentage in population ranked on total exposure

Numeric

For selection of individual(day) exposures above the cutoff percentage in the set of individual(day)s ranked on total exposure.
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:

Numeric

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.
Use intra-species factors

Boolean

Use intra-species conversion factors (default value, e.g. 10, or data).
Sampling method

AlphaNumeric

The sampling method that should be included in the action.
Use hazard characterisations subgroup

Boolean

Hazard characterisations are dependent on subgroups (e.g. based on age or gender, see dataformats HCSubgroups).

Output settings

Table 353 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).
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

Numeric

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.

Uncertainty settings

Table 354 Uncertainty settings for module Risks.
Name Type Description
Lower uncertainty limit (%)

Numeric

Percentage lower bound, e.g. 2.5%.
Upper uncertainty limit (%)

Numeric

Percentage upper bound, e.g. 97.5%.