probabilistic sensitivity analysis

USAGE SUMMARY

The phrase "probabilistic sensitivity analysis" is correct and usable in written English.
It can be used in contexts related to statistics, risk assessment, or decision-making processes where uncertainty is analyzed. Example: "In our study, we conducted a probabilistic sensitivity analysis to evaluate how changes in input parameters affect the outcomes."

✓ Grammatically correct

Science

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Uncertainty around the results was characterized using one-way sensitivity analyses and a multivariate probabilistic sensitivity analysis.

Stanford University

Probabilistic sensitivity analysis.

Health Economics Review

PSA: Probabilistic sensitivity analysis.

Health Economics Review

Bayesian probabilistic sensitivity analysis was also performed.

Duke University

Monte Carlo probabilistic sensitivity analysis was performed.

Duke University

Probabilistic sensitivity analysis (PSA) was also undertaken.

Health Economics Review

Figure 4 Probabilistic sensitivity analysis scatterplots.

Health Economics Review

Figure 3 Probabilistic sensitivity analysis boxplots.

Health Economics Review

Probabilistic sensitivity analysis was conducted changing model's parameters.

Health Economics Review

Coefficients from the regression analysis on probabilistic sensitivity analysis results.

Health Economics Review

Figure 2 Results of the probabilistic sensitivity analysis.

Health Economics Review

Expert writing Tips

Best practice

When presenting results from a "probabilistic sensitivity analysis", clearly state the distributions assumed for input parameters and justify these assumptions based on available evidence or expert opinion.

Common error

Avoid using default distributions without proper justification. Always explain why a specific distribution (e.g., normal, beta, gamma) was chosen for each input parameter in your "probabilistic sensitivity analysis".

Linguistic Context

The phrase "probabilistic sensitivity analysis" functions as a noun phrase that acts as a subject or object in a sentence. It is a technical term used to describe a specific type of statistical analysis. Ludwig confirms its usability in various contexts.

Expression frequency: Very common

Frequent in

Science

66%

Academia

34%

Formal & Business

0%

Less common in

News & Media

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "probabilistic sensitivity analysis" is a well-established term in statistics, health economics, and risk assessment, used to describe a method for assessing the impact of input parameter uncertainty on model outputs. As Ludwig confirms, it's grammatically correct and widely used, particularly in scientific and academic writing. The analysis often involves generating outputs like cost-effectiveness acceptability curves. To ensure clarity, it is important to justify the distributional assumptions for input parameters. Related terms include "uncertainty analysis" and "stochastic sensitivity analysis", each with slightly different focuses. The consistent usage and clear definition of the phrase make it a valuable tool for robust decision-making under uncertainty.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

sensitivity analysis under uncertainty

Emphasizes that the sensitivity analysis is performed in conditions of uncertainty.

monte carlo sensitivity analysis

Specifies the Monte Carlo method used for the sensitivity analysis.

stochastic sensitivity analysis

Emphasizes the random nature of the variables being analyzed.

parameter uncertainty analysis

Focuses specifically on the uncertainty related to model parameters.

variance-based sensitivity analysis

Specifies a sensitivity analysis based on the variance of model outputs.

uncertainty analysis

Focuses more broadly on assessing uncertainty without specifying the probabilistic methods.

global sensitivity analysis

Indicates a comprehensive analysis across the entire range of input parameters.

probabilistic risk assessment

Combines probability theory with risk assessment methodologies.

uncertainty quantification

Focuses on quantifying the uncertainties within a system or model.

risk assessment

Highlights the evaluation of potential risks associated with decisions.

FAQs

How is "probabilistic sensitivity analysis" used in health economics?

In health economics, "probabilistic sensitivity analysis" is used to assess the impact of uncertainty in model parameters on cost-effectiveness results. This helps decision-makers understand the robustness of conclusions regarding the value of different healthcare interventions. It often involves generating cost-effectiveness acceptability curves (CEACs).

What is the difference between "probabilistic sensitivity analysis" and one-way sensitivity analysis?

One-way sensitivity analysis varies one input parameter at a time, while "probabilistic sensitivity analysis" simultaneously varies all input parameters according to specified probability distributions. "Probabilistic sensitivity analysis" provides a more comprehensive assessment of uncertainty, reflecting the combined impact of all uncertain parameters.

What are the key outputs of a "probabilistic sensitivity analysis"?

Key outputs include cost-effectiveness acceptability curves (CEACs), scatterplots of cost and effect pairs, and regression analyses identifying the key drivers of uncertainty. These outputs help to visualize and quantify the impact of uncertainty on model results.

Which software is commonly used to perform a "probabilistic sensitivity analysis"?

Common software includes Microsoft Excel (with add-ins like @RISK or Crystal Ball), R, and specialized health economic modeling software like TreeAge Pro. These tools allow users to define probability distributions for input parameters and run Monte Carlo simulations.