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- W2783968772 abstract "Simulating empirical distributions of costs and health benefits are widely used for making decisions on health interventions. Decisions using acceptability curves (CEAC) are commonly adopted to represents the probability of incremental cost-effectiveness model regarding the Northeast quadrant of joint density of incremental cost and benefits distributions, considering variability within samples. Using an expected net benefits model, we show how to integrate in one curve the distributed points of costs and benefits that fall in Northeast, Southeast, Northwest and Southwest quadrants, considering variability between and within samples. We applied the methods to a clinical trial that evaluates the effects of resonance magnetic image and computerized tomography image in the diagnostic of stroke. Thus, modeling and simulation of expected net benefits allow for drawing an acceptability curve, integrating the four quadrants of joint density of incremental cost and benefits without altering decisions that might be undertaken using the classical acceptability curve approach." @default.
- W2783968772 created "2018-01-26" @default.
- W2783968772 creator A5051488242 @default.
- W2783968772 date "2017-12-01" @default.
- W2783968772 modified "2023-09-25" @default.
- W2783968772 title "Simulation modeling for making decision on clinical trials using acceptability curve of cost-effectveness and expected net benefits" @default.
- W2783968772 cites W2106203584 @default.
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- W2783968772 doi "https://doi.org/10.1109/wsc.2017.8248200" @default.
- W2783968772 hasPublicationYear "2017" @default.
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