Sentence examples for mean cost effectiveness from inspiring English sources

As our model is non linear the use of PSA provides the only unbiased estimate of mean cost effectiveness.

It resulted in more than 11 million individuals being screened for computing the mean cost effectiveness ratios for each screening scenario.

Deterministic and stochastic sensitivity analyses (based on bootstrapped estimates) addressed different types of uncertainties within the economic evaluation, such as the exploration of the effect of those participants with the greatest costs on the estimates of mean cost effectiveness.

The model outputs will be the estimated expected mean costs, effectiveness, and QALYs associated with each alternative treatment.

With this analysis, it may be stated that the use of cyclooxygenase-2 inhibitors, such as celecoxib, is the treatment with the best cost-effective results (lowest mean cost-effectiveness ratio $17.5 MXP/patient), which may result in a lower use of resources due to the presence of adverse events related to drugs for treating OA and the consequent cost decrease.

The expected mean cost-effectiveness of training is still good, and this could be done in parallel with development.

The cost-effectiveness analysis will examine the null hypothesis that the mean cost-effectiveness of the proposed health care intervention is no different to the mean cost-effectiveness of usual care.

Using the information on costs and benefits an incremental economic analysis comparing the tailored exercise intervention to treatment as usual will be undertaken to estimate mean cost-effectiveness.

Mean cost-effectiveness and ICERs among the treatment alternatives for advanced GIST over a 5-year treatment horizon are shown in Table 4.

The mean average cost-effectiveness ratios (ACERs) for the 14 drugs in the scenarios of very high risk relative to the null-intervention are given in Table 5.

The latter in practice means cost-effectiveness studies, and our COI study could be used as a toolbox for analysts in need of cost data.