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Moreover, for application of animal toxicity data to human health risk assessment, the background of human disease (to which the agent is imagined to be adding) must be pathologically equivalent to the induced effect in animals in the sense that development of adverse outcomes is contingent on the same small changes in underlying physiology.
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However, there is no standardized approach regarding the assessment of the background reference.
Given the diversity of participating countries, both the assessment and the background questionnaire were developed and piloted to ensure linguistic and cultural comparability.
Foremost is the introduction of computer administration of the assessment and the background survey.11 Taking advantage of computer delivery, the design employed in the administration of the cognitive items was a multi-stage, stage-wise adaptive design.
The results of the work include an adjusted model for decision taking, an assessment of the background leakage and a methodology to be applied in other parts of the network.
The contralateral side served as reference for the assessment of the background noise in each vessel.
However, the benefits and limitations of such intervention need careful assessment against the background epidemiology of hepatitis B, C and HIV as well as of percutaneous exposures within a given health care setting and in the country [ 13].
Figure 2 demonstrates an example of a participant with ILA defined by visual assessment on the background of emphysema but with <10 % HAAs, and an example of a participant without ILA defined by visual assessment and an increased BMI with ≥10 % HAAs.
Experimental assessments of the background read distribution is favoured over purely theoretical and therefore not experimentally validated background models [ 2].
At this stage, an in-depth needs assessment could reveal the background explanation, which may warrant changes in medical treatment or the provision of social support.
We found no significant differences in confidence assessments when analyzing the background variables (sex, age, years of professional experience, and place of work).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com