Utility
A numerical representation of the satisfaction, wellbeing, or preference an individual derives from a particular outcome, state, or good.
Explore comprehensive, evidence-informed explanations of key health economics concepts, including their development, application and relationships to other concepts. Published entries are validated through human expert review.
A numerical representation of the satisfaction, wellbeing, or preference an individual derives from a particular outcome, state, or good.
A mathematical representation of preferences that assigns a numerical value to each possible outcome, so higher-utility outcomes are preferred.
The behavioural assumption that individuals make choices intended to achieve the highest possible satisfaction given their preferences and constraints.
A numerical value representing the relative desirability of a specific health state, used to weight time in that state for QALYs.
The degree to which a vaccine reduces disease risk under real-world conditions in a general population, unlike efficacy measured under trial conditions.
The degree to which a vaccine reduces disease risk among vaccinated individuals under the controlled conditions of a clinical trial.
A framework quantifying the expected benefit of reducing decision uncertainty, comparing expected outcomes under current uncertainty against outcomes if it were resolved.
The application of value of information methods to a health economic decision, typically used to judge whether further research is worth conducting.
A monetary estimate of the value society places on reducing the risk of death, derived from willingness to pay for a small risk reduction.
An adaptation of the value of statistical life expressed per life-year rather than per life, adjusted for age and remaining life expectancy.
The complete collection of utility weights from a population valuation study, used to convert every combination of instrument responses into a utility score.
The process of designing, conducting, and analysing a population valuation study to produce a scoring algorithm for a health status instrument.
A dispersion measure representing the average squared deviation of individual data points from the mean of a dataset.
A technique for decomposing the difference between budgeted and actual financial results into component causes, such as price and volume effects.
A regression diagnostic quantifying how much an estimated coefficient's variance is inflated by correlation with other predictors, higher values meaning worse multicollinearity.
Statistical techniques, including antithetic variates and control variates, used to reduce a Monte Carlo simulation's statistical variability for a given number of iterations.
Global sensitivity analysis techniques, including Sobol indices, decomposing total output variance into components attributable to each parameter and their interactions.
A table showing each parameter's variance and the covariance between each pair, summarising both individual uncertainty and interdependence among model inputs.
Differences observed in a healthcare process or outcome across patients, providers, or time periods, either legitimate or reflecting inconsistent quality.
An orthogonal factor rotation maximising the variance of squared loadings within each factor, tending to make each variable load strongly on only one factor.