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For the QBM, these functions were transformed to express risks for ex-smokers relative to current smokers, and are shown by year since quitting in Table 2.
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This has led to an abundance of hybrid techniques to either qualitatively or quantitatively express risk levels.
The methods used also make it possible to express risk management objectives in terms of quantitative metrics, e.g., the number of days in space without exceeding a given risk level within well-defined confidence limits.
We conducted an Internet-based randomized trial comparing six summary statistics to express risk reduction (Figure 1).
Attributable fractions (AFs), calculated as (OR−1)/OR, were used to express risk attributing to CRC deaths for the smoking population.
Furthermore, rather than necessarily dichotomizing risk as high or low, BNPs express risk as a continuum and this may be advantageous.
Population attributable fractions (PAFs), calculated as p × (OR−1)/(1+ p × (OR−1)) in which p was smoking prevalence in the control group, were used to express risk attributing to CRC deaths for the total population.
It expresses risk in terms of the cost of damage.
Another commonly expressed risk over the next two decades is the general mismanagement of AI.
The PBPK model provides reasonable estimates of the kinetics of 2,4-D in rats as well as in humans, providing a common metric for expressing risk.
The classification has novel aspects in providing a structure that should help in understanding how we need different aspects of risk and different ways of expressing risk in different situations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com