Final answer:
Risk Reduction Leverage is not a standard term in epidemiological research, but it may be conceptually related to risk ratio or relative risk reduction, which involves comparing the incidence of a health event between an exposed group and a non-exposed group. The term might refer to the impact an intervention has on reducing risk, but further context or definition is needed to provide a precise calculation.
Step-by-step explanation:
To calculate Risk Reduction Leverage, you need to understand relative risk (RR) first, which involves comparing incidences of health-related events in two different groups: one exposed to a certain factor and another not exposed. The calculation is done by dividing the incidence of the outcome in the exposed group by the incidence in the non-exposed group (RR = incidence in exposed group / incidence in non-exposed group).
In epidemiological studies, particularly cohort studies, data is commonly organized into a “2 x 2” table, where different incidences are represented to facilitate the calculation of ratios such as RR. The risk ratio gives an indication of the strength of the association between an exposure and an outcome.
Unfortunately, this question doesn't provide enough context to calculate Risk Reduction Leverage directly, and it's not a standard term in epidemiological research. However, if Risk Reduction Leverage refers to the calculation of how a particular intervention reduces risk compared to baseline risk levels, then it may be related to calculating the risk ratio or relative risk reduction (RRR), which can be computed based on the incidence rates in the control and intervention groups. Risk Reduction Leverage, in this context, would be an assessment of how much a certain factor leverages or reduces the risk in a comparative sense, but specific calculation of this leverage would require a precise definition and formula, which is not provided here.