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An Epidemiologic Approach for Estimating Risk Reduction and Asymptotic Power on the Log-Difference Scale
1Cooperative Studies Program Coordinating Center, VA Boston Healthcare System, Lafayette City Center, 2 Avenue de Lafayette, Boston, MA 02111, USA.
None:
When comparing the efficacy or harmfulness of two groups (e.g., drugs, devices, assays, interventions, environmental toxins), it is important to minimize bias by making this comparison with respect to a common referent-control group, assuming random allocation. Under such a scenario, one can estimate risk reduction for a new therapy on a log-difference, relative effect scale. The current manuscript reviews the large-sample framework for this conditionally independent comparison and demonstrates how to estimate test power for a given sample size.
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