Net benefit separation and the determination curve: A probabilistic framework for cost-effectiveness estimation

Considerations regarding clinical effectiveness and cost are essential in comparing the overall value of two treatments. There has been growing interest methodology to integrate measures order inform policy promote adequate resource allocation. The net monetary benefit aggregates information on differences mean outcomes; cost-effectiveness acceptability curve was developed characterize extent which strength evidence changes with fluctuations willingness-to-pay threshold. Methods derive insights from characteristics cost/clinical outcomes besides remain undeveloped but may also be informative. We propose a novel probabilistic measure based stochastic ordering individual distribution under each treatment. Our approach is able accommodate features frequently encountered observational data including confounding censoring, complements it provides. conduct range simulations evaluate finite-sample performance illustrate our proposed using simulated study endometrial cancer patients.