Human monitoring analysis settings

Calculation settings

Table 139 Calculation settings for module Human monitoring analysis.

Name	Type	Description
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 exposures	Boolean	Specifies whether the assessment involves multiple substances and results should be cumulated over all substances.
Censored values handling method (also used as fallback for censored lognormal approach)	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: 1) By zero, 2) Impute from data, 3) No missing value imputation
Biological matrix	BiologicalMatrix	The target biological matrix (internal compartment) for which exposures are computed.
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: 1) Standardise by total lipid measured via gravimetric analysis, 2) Standardise by total lipid measured via enzymatic summation, 3) Standardise by derived total lipid content of Triglycerides/Cholesterol (Bernert et al. 2007).
Specify the standardisation method of blood concentrations for lipid soluble substances	StandardiseBloodMethod	Specify the standardisation method of blood concentrations for lipid soluble substances.
Normalise of standardise urine concentrations for specific gravity or creatinine	bool	Normalise of standardise urine concentrations for specific gravity or creatinine: 1) Normalise by specific gravity, 2) Standardise by creatinine concentration.
Specify the normalisation/standardisation method of urine concentrations for specific gravity or creatinine	StandardiseUrineMethod	Specify the normalisation/standardisation method of urine concentrations for specific gravity or creatinine.
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.
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

Table 140 Output settings for module Human monitoring analysis.

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.