Three Underappreciated Benefits Of Pareto For Empowered Trial Selection

By Esha Senchaudhuri

Earlier this summer, we published a series of articles on the need to utilize weighting and prioritization tools in the selection of optimal clinical trial designs. One of the methods for which we advocated included using Pareto Optimization techniques to identify the set of designs over which to deliberate. Cytel’s position paper highlighted how Pareto could be used in conjunction with scoring functions and eNPV considerations to help trial sponsors and statisticians select the design most suited to their objectives. This piece highlights some of the ways this technique can save decision-makers from expending time and energy on designs that do not deliver on their promise.