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There are several possible sources of the inherent uncertainty that arises when using the scientific data that is necessary for a risk assessment.

Uncertainties may arise from: (i) lack of information, (ii) incomplete knowledge, and (iii) biological or experimental variability, for example, due to inherent heterogeneity in the population being studied or to variations in the analytical assays. Uncertainty resulting from lack of information includes, for example, information that is missing and data that is imprecise or inaccurate (e.g., due to study designs, model systems and analytical methods used to generate, evaluate and analyze the information) (SCBD, 2012).