Developing cost-effectiveness models (CEM) for cost-effectiveness analysis is an important tool for establishing the value of a new drug and gaining market access. Such analysis allows us to examine the ranges for cost-benefit ratio of a new drug and compare it to the treatment results with existing analogues. As a rule, CEM is developed based on a number of assumptions that may be inaccurate. Therefore, a robust cost-effectiveness analysis is impossible without a sensitivity analysis (SA).
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