Imputation of non-detect measurements
A complication in concentration modelling occurs when concentration measurements are reported as below a certain limit. Different names may be used for such a limit, e.g. limit of detection (LOD), limit of quantification (LOQ) or the more general term limit of reporting (LOR). Results that are only reported to be below the LOD (non-detects) or below the LOQ (non-quantifications) are generally referred to as censored values or non-reports. Censored values are a very common phenomenon for some classes of substances like pesticides. When modelling the substance concentrations, they can be handled by incorporating them in a parametric model, or by replacing them with a given value (imputation). For imputation, different models are available:
Replace by zero: All left censored measurement values are replaced by zero. This is an optimistic modelling choice.
Replace by factor x LOR: Measurements reported below LOD or LOQ are replaced by a factor times LOQ. When the LOQ is unspecified, then the LOD is used. When the factor is equal to one, this method can be assumed to be a conservative approach.
Replace LOD by factor x LOD and LOQ by factor x (LOQ - LOD): Measurements reported below LOD are replaced by a factor times LOD and measurements reported below LOQ are replaced by a factor times LOQ-LOD (i.e., a value between LOD and LOQ).
An additional option of the imputation methods that replace the left censored values with some positive value is to use occurrence frequencies for imputation. When this option is used, a part of the left-censored values are replaced by a positve value and another part is replaced by zero, based on the occurrence frequencies of the modelled foods and substances. Another option is to restrict imputation with positive values to only the authorised substances.
In Figure 52 to Figure 55, the various scenarios are displayed. Two substances, Fenamidine and Hexythiazox are indicated with a brown box, these substances are authorised.