Dictionary

The Dictionary provides concise definitions of health economics terms, arranged alphabetically for quick reference. Use it to understand unfamiliar terminology or confirm the meaning of a specific term.

32 terms matching “Sensitivity Analysis”

B

Base CaseBase-Case Scenario, Central Estimate
The set of central, best-estimate inputs used to produce a model's primary reported results, against which sensitivity analysis is later tested.
Best Case AnalysisBest-Case Analysis, Optimistic Analysis
A sensitivity analysis setting every uncertain input simultaneously to the value most favourable to the intervention, producing the most optimistic result.

D

Data VisualisationData Visualization, Information Graphics
In health economics and analytics, the graphical presentation of data to reveal patterns, relationships and uncertainty, such as plotting probabilistic sensitivity analysis results or quality-control trends.
Delta AdjustmentDelta Sensitivity Analysis, Delta Imputation
A sensitivity analysis technique shifting the assumed outcome for patients with missing trial data by a specified amount to test conclusions' robustness.
Deterministic Sensitivity AnalysisDSA
Deterministic sensitivity analysis evaluates how a model's results and decisions change when selected inputs or assumptions are assigned specific alternative values while all other stated conditions are controlled.

E

Elementary EffectEE Measure, Morris Sensitivity Measure
A measure in the Morris method of global sensitivity analysis, the change in output from a small, discrete change in one input.

F

Factor FixingParameter Fixing, Negligible-Factor Screening
A global sensitivity analysis technique identifying which input parameters have negligible influence on a model's output, so they could be fixed at a constant.
Factor MappingOutput-Region Mapping, Monte Carlo Filtering
A global sensitivity analysis technique identifying which combinations of input values produce outputs within a specific range of interest, such as below a threshold.
Factor PrioritisationVariance-Based Ranking, Parameter Importance Ranking
A global sensitivity analysis technique ranking input parameters by how much of a model's output variance each is responsible for.
First-Order IndexFirst-Order Sobol Index, Sobol First-Order Index, Main-Effect Sensitivity Index, First-Order Sensitivity Index, S1
A first-order index in variance-based sensitivity analysis is the fraction of model-output variance explained by changes in the conditional mean when one uncertain input varies on its own under the specified input distribution.

G

Global Sensitivity AnalysisGSA, Simultaneous Sensitivity Analysis
Global sensitivity analysis, or GSA, evaluates how uncertainty in model inputs contributes to variation in model outputs when inputs vary across their full specified ranges or distributions.

I

IterationMonte Carlo Draw, Simulation Pass
A single completed pass through a simulation model's calculations, typically using one randomly sampled set of parameter values in probabilistic sensitivity analysis.

L

Local Sensitivity AnalysisLocal SA, Derivative-Based Sensitivity Analysis
A sensitivity analysis examining how output changes with small variations around a fixed base case for each parameter, unlike global sensitivity analysis.

M

Multi-Way Sensitivity AnalysisMultiway SA, Simultaneous Parameter Variation, Multi-Way Sensitivity
An analysis systematically varying two or more input parameters together across a defined range of combinations, examining their combined effect on results.
Multi-Way Threshold AnalysisMultiway Threshold, Joint Threshold Analysis
A sensitivity analysis identifying the combinations of two or more parameter values at which a model's conclusion, such as cost-effectiveness, would change.

O

One-Way SensitivityUnivariate Sensitivity, Single-Parameter Sensitivity
A deterministic sensitivity analysis that varies one model input across a specified range while keeping the remaining inputs at their base-case settings, then recalculates the model outcome and any decision threshold.
One-Way Sensitivity AnalysisOWSA, Univariate Sensitivity Analysis
One-way sensitivity analysis is a deterministic method that changes one model input at a time across a specified range while holding all other inputs at their base-case values.

P

Probabilistic Sensitivity AnalysisPSA, Probabilistic Analysis
Probabilistic sensitivity analysis (PSA) characterises parameter uncertainty by assigning probability distributions to uncertain model inputs and propagating joint samples through the model.
Probability DistributionStatistical Distribution, Distribution Function
In health economics, a mathematical function describing the probabilities of the possible values of an uncertain quantity, used to represent parameter and individual-level variation in economic models and probabilistic sensitivity analysis.

R

Random Number GenerationRNG, Random Draw Generation
Random number generation supplies the uncertain draws used in probabilistic sensitivity analysis, microsimulation, discrete-event simulation, bootstrap procedures, and other stochastic analyses.

S

Scatter PlotScatter Diagram, Scattergram, Scatter Chart
A graphical display showing individual data points along two axes, commonly used to plot probabilistic sensitivity analysis results on the cost-effectiveness plane.
Screening AnalysisParameter Screening, Factor Screening
A preliminary sensitivity analysis technique efficiently identifying which of many input parameters meaningfully influence a model's output, for more detailed follow-up analysis.
Sensitivity AnalysisSA, Robustness Analysis, Sensitivity Analysis Methods
Sensitivity analysis examines how conclusions change when uncertain inputs, assumptions or model structures are varied.
Sensitivity Analysis for Missing DataMissing Data Sensitivity Analysis, Delta-Adjustment Analysis
Techniques assessing how much a study's conclusions might change under different, less favourable assumptions about missing data values.
Spider PlotRadar Plot, Spider Diagram
A graphical sensitivity analysis tool showing how a model's output changes as each input parameter is varied across its plausible range.
Stochastic AnalysisStochastic Sensitivity Analysis, Random-Input Analysis
An analysis in which a model incorporates randomness explicitly, so repeated runs under the same inputs can produce different results, unlike a deterministic model.
Structural Sensitivity AnalysisStructural SA, Model-Structure Sensitivity
A sensitivity analysis testing how results change under alternative structural assumptions, such as a different survival extrapolation function, rather than parameter values.

T

Threshold AnalysisThreshold Analysis Method, Switching-Value Analysis
A sensitivity analysis technique identifying the value at which an input parameter would need to be set for a model's conclusion to change.
Tornado DiagramTornado Plot, Tornado Chart
A horizontal bar chart displaying one-way sensitivity analysis results, bars ranked from largest to smallest range, resembling a tornado shape.
Two-Way Sensitivity AnalysisTwo-Way Sensitivity, Bivariate Sensitivity Analysis
An analysis varying two parameters together across a grid of combinations, typically shown as a contour plot or heat map of results.

V

Variance-Based SensitivityVariance-Based SA, Sobol Sensitivity Analysis
Global sensitivity analysis techniques, including Sobol indices, decomposing total output variance into components attributable to each parameter and their interactions.

W

Worst Case Analysis
A sensitivity analysis setting every uncertain parameter simultaneously to its least favourable value, producing the most pessimistic possible result the model could generate.