Significance of Sensitivity analysis
Sensitivity analysis is a critical assessment method used to evaluate a method's ability to detect low concentrations of substances and assess how changes in parameters affect study outcomes. It measures the reliability of tests by examining how results vary under different conditions. This technique is especially important in fields like drug discovery and environmental monitoring, as it helps determine the impact of independent variables on dependent variables and assesses test robustness, contributing to more reliable findings in various analyses.
Synonyms: Sensitivity testing, Impact assessment, Risk analysis, Variance analysis
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The concept of Sensitivity analysis in scientific sources
Sensitivity analysis is crucial in chromatography for detecting low analyte concentrations and evaluating how variations in input parameters influence analysis results, thereby addressing uncertainties in applications like drug discovery and environmental monitoring.
From: The Malaysian Journal of Medical Sciences
(1) The sensitivity analysis was conducted to evaluate the effect of variations in input costs on the overall PNC cost, indicating the impact of changes in specific cost categories.[1] (2) A method used to determine how the results of a study change with variations in the analysis, often by excluding certain data points to identify outliers.[2] (3) An assessment conducted to determine how the results of a study would change with different assumptions or parameters.[3] (4) A method used in the meta-analysis to check how the results would change upon excluding certain studies, specifically Alipour et al.[4] (5) A technique used to determine how different values of an independent variable impact a particular dependent variable under a given set of assumptions.[5]