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Sensitivity analysis was conducted to determine the robustness of cost estimation.
Finally, from both perspectives, the robustness of cost effectiveness was examined by exploring scenarios combining the influence of the variations in staff salary, rate of participation, distance to the facility and effectiveness, from the lowest to the highest limit of the 95% confidence interval.
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A probabilistic sensitivity analysis is conducted to explore the robustness of cost-utility results to values of input parameters.
Given the limitations of the cost data on which the study was based, a sensitivity analysis was undertaken to determine robustness of the cost and cost per QALY results (see table 7).
In this analysis a potential deviation from the assumed costs of 20% either side of the estimated costs was used to determine the robustness of the cost estimates.
To assess the robustness of the cost effectiveness results we investigated several alternative scenarios, including the cost of the biomarker tests and upper and lower 95% confidence intervals of the predictive effect of biomarkers on cardiovascular events.
To test the robustness of these cost estimates and to assess the impact of variations of daily ICU and normal ward costs, sensitivity analyses were performed.
Few studies have been published on the cost of acute treatment for blunt trauma in the United Kingdom; hence it is difficult to assess the robustness of our cost estimates.
A sensitivity analysis was carried out for all the four cases in order to investigate the robustness of the cost categories.
We used a sensitivity analysis to test the robustness of the cost differences.
Sensitivity analysis was conducted to test the robustness of the cost estimates.
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