Sentence examples for incremental uncertainty from inspiring English sources

In our study we used chemical transport modeling simulations and empirical CR functions, an experimental framework that adds incremental uncertainty at each step: in the emissions inventory, modeled meteorology, and processes included in the chemical transport model.

In the framework of finite receding horizon control (RHC), a system containing "parameter" uncertainties is modified into a system with "parameter-incremental" uncertainties within each horizon.

At first characterized by political uncertainty, incremental policies and stop-gap measures, the context substantially changed in 2009.

However, there remains substantial uncertainty around incremental QALY gains.

Uncertainty around incremental cost-effectiveness ratios will be tested using both one-way sensitivity analysis and non-parametric bootstrapping methods.

A series of one way sensitivity analyses will be conducted to explore the impact of uncertainty on incremental cost-effectiveness.

They depict uncertainty in incremental costs and QALYsDW gained, due to input parameter uncertainty (model 1 in Table  3 and solid markers in Fig.  2).

Uncertainty surrounding incremental cost-effectiveness and cost-utility ratios will be estimated using bootstrapping techniques and graphically presented in cost-effectiveness and cost utility planes.

It has been suggested that "policy develops through evolution rather than revolution and the wise policy-maker makes incremental changes to reduce uncertainty and avoid mistakes" [ 25].

A master list of services was achieved through matching against criteria (including high cost individual care, growth or implementation that exceeded an incremental cost of £50,000, uncertainty about evidence or ability to benefit) for evidence and prioritisation.

Bootstrapping was used to capture uncertainty around incremental cost-effectiveness ratios (ICERs) and correlations between costs and QALYs with/without TKR; the regression models for costs and outcomes were run for each of the 125 bootstrap samples drawn from each imputed KAT data set and results combined using Rubin's rule.