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You are consulting with an infectious disease modeling group to help you estimate how a new treatment for ‘Disease X’ could reduce the number of deaths from this disease in the coming year. You guess that this new treatment could reduce the risk of death for patients who receive it by anywhere from 30% to 50%, but the final study results showing how effective it is are not yet available. The modeling group proposes that they use _______________ to help you understand how deaths could change depending on how effective the new treatment really is.

A)Sensitivity analysis
B)Forecasting
C)Stochasticity
D)Ensemble models

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Final answer:

The modeling group proposes that they use Sensitivity analysis to help understand how deaths could change depending on how effective a new treatment for 'Disease X' is.

Step-by-step explanation:

The modeling group proposes that they use Sensitivity analysis to help you understand how deaths could change depending on how effective the new treatment really is. Sensitivity analysis is a technique that involves varying the input parameters of a model to see how the output is affected. In this case, the input parameter would be the effectiveness of the new treatment, and the output would be the number of deaths from 'Disease X'. By conducting sensitivity analysis, the modeling group can provide a range of potential outcomes based on different levels of treatment effectiveness, helping you estimate how the new treatment could reduce the number of deaths.

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