Sentence examples for sensitivity to estimate from inspiring English sources

In addition, the proposed method shows significant sensitivity to estimate damage and that it can be integrated with modal testing to assess the current condition of the structure without the need for baseline data.

These data demonstrate that both the measurement of cartilage thickness and that of cartilage volume provide the same level of sensitivity to estimate cartilage loss in a clinical trial.

More specifically, the sensitivity to change of two methods of measurement, mean cartilage thickness and cartilage volume, was assessed in order to gain insight into which method offers greater sensitivity to estimate cartilage loss over time and which method better estimates differences between treatment groups.

An initial observation was that the measurement of cartilage volume changes in the global (entire) knee and medial and lateral compartments provided exactly the same level of sensitivity to estimate between-treatment comparative changes in the therapeutic groups over the different time points of the study.

We will conduct one-way and multiway sensitivity analyses, and a probabilistic sensitivity analyses to estimate the joint uncertainty in cost and effect parameters.

Some graphs have been derived from sensitivity analysis to estimate pile unit shaft resistance based on qE and fs.

We then employ probabilistic sensitivity analysis to estimate a frequency distribution of benefit-cost ratios for all four interventions, given a wide variety of possible parameter combinations.

Their approach combined the prediction of separate sensitivity models to estimate the selectivity profile of a compound.

We have used sensitivity analysis to estimate the impact of additional single room isolation costs.

We performed one-way and multi-way sensitivity analyses to estimate the effect of various values for each parameter on incremental cost-effectiveness ratios.

We conducted a Monte Carlo multivariate sensitivity analysis to estimate aggregate uncertainty from model inputs.