Examples of 'sensitivity analyses' in a sentence
Meaning of "sensitivity analyses"
Sensitivity analyses is a statistical technique used to assess the impact of varying input parameters or assumptions on the results or outcomes of a model, study, or experiment. It involves systematically changing the values of the selected parameters to evaluate their influence on the overall findings and conclusions. Sensitivity analyses help to identify the key drivers or variables that significantly affect the results and enhance the robustness and reliability of the analysis
How to use "sensitivity analyses" in a sentence
Basic
Advanced
sensitivity analyses
Initiate preliminary sensitivity analyses of existing data.
Sensitivity analyses were applied to further evaluate heterogeneity.
Prespecified subgroup and sensitivity analyses were conducted.
The sensitivity analyses confirmed the conclusion.
Such limitations are minimized with sensitivity analyses.
Several sensitivity analyses supported these results.
Easy realization of scenario and sensitivity analyses.
Several sensitivity analyses confirmed these results.
These results were supported by the sensitivity analyses.
Sensitivity analyses were performed to deal with uncertainties.
Several subgroup and sensitivity analyses were conducted.
Sensitivity analyses supported the overall findings.
These results were robust to several sensitivity analyses.
The sensitivity analyses showed similar results.
These results were robust to various sensitivity analyses.
See also
The sensitivity analyses yielded similar results.
We carried out two sensitivity analyses.
The sensitivity analyses found similar results.
It was also maintained in all sensitivity analyses.
Sensitivity analyses conducted on each option.
Perform economic sensitivity analyses for key variables.
Sensitivity analyses obtained consistent results.
Results were similar in several sensitivity analyses.
Sensitivity analyses did not change the results substantially.
These findings were robust in sensitivity analyses.
Sensitivity analyses did not substantially alter these results.
Data were insufficient for subgroup or sensitivity analyses to be conducted.
Sensitivity analyses were performed to assess heterogeneity.
Results were robust in the sensitivity analyses.
Secondary and sensitivity analyses showed similar results.
The results did not vary across sensitivity analyses.
O sensitivity analyses of your projections under different scenarios.
Results were unchanged following sensitivity analyses.
Sensitivity analyses evidenced heterogeneous results by time period.
Heterogeneity was investigated by subgroup analyses and sensitivity analyses.
Sensitivity analyses were performed excluding poor quality trials.
Broadly similar results were found in the sensitivity analyses.
Sensitivity analyses address these questions.
We also performed several sensitivity analyses.
None of the sensitivity analyses explained the trend.
We also conducted several sensitivity analyses.
Additional sensitivity analyses in which we varied.
The following assumptions were made in calculating the sensitivity analyses.
Sensitivity analyses were also carried out.
Perform uncertainty and sensitivity analyses for external events.
Sensitivity analyses confirmed the robustness of the findings.
We undertook two sensitivity analyses.
Performs sensitivity analyses in order to quantify the effects of.
We performed two sensitivity analyses.
Sensitivity analyses of the key model parameters were performed.
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Analyses are undertaken for two types of scenarios
It also reviewed analyses from other sources
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Examples of using Sensitivity
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Refer to the movement sensitivity adjustment section
Sensitivity analysis and fair value disclosures
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