Human monitoring analysis settings
Calculation settings
| Name | Type | Description |
|---|---|---|
Risk 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. |
Express results in terms of reference substance equivalents (cumulative)
|
Boolean |
Specifies whether the assessment involves multiple substances and results should be cumulated over all substances. |
Censored values handling method
|
NonDetectsHandlingMethod | Method for dealing with censored value samples in human monitoring data. Note that this method is also used as a fallback when fitting a censored lognormal model to the concentration data fails. |
Fraction for censored value replacement
|
Numeric |
Factor used for replacing the censored value. |
Imputation method for non detect values
|
NonDetectImputationMethod | Imputation method for non detect values: replace nondetects based on by f*LOD/LOQ) or from left tail censored lognormal distribution. |
Missing value imputation method
|
MissingValueImputationMethod | Imputation method for missing values. |
Biological matrix
|
AlphaNumeric |
Biological matrix. |
Apply conversion of substance concentrations from other biological matrices
|
Boolean |
Apply conversion of substance human monitoring concentrations from other biological matrices to the target biological matrix. This conversion is applied when the number of substances measured on the target biological matrix is limited. Substances measured on other matrices are converted and muliplied by a ‘between matrix conversion’ factor. |
Between matrix concentration conversion factor
|
Numeric |
Conversion factor to use when extrapolating concentrations of other biological matrices to concentrations of the selected target biological matrix. |
Specify the minimum percentage of non-missing values (%)
|
Numeric |
Specify the minimum percentage of non-missing values required for imputation. No imputation is done when the percentage of non-missing values in the data is smaller than the specified percentage. |
Standardise blood concentrations for lipid soluble substances
|
bool |
Standardise blood concentrations for lipid soluble substances. |
Specify the standardisation method of blood concentrations for lipid soluble substances
|
StandardiseBloodMethod | Specify the standardisation method of blood concentrations for lipid soluble substances. |
Standardise urine concentrations for creatinine or specific gravity
|
bool |
Standardise urine concentrations for creatinine or specific gravity. |
Specify the standardisation method of urine concentrations for creatinine or specific gravity
|
StandardiseUrineMethod | Specify the standardisation method of urine concentrations for creatinine or specific gravity. |
Substance weighting for MCR
|
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. |
Perform MCR analysis
|
Boolean |
Perform a Maximum Cumulative Ratio (MCR) analysis to determine co-exposure between substances. |
Output settings
| Name | Type | Description |
|---|---|---|
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. |
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. |