Expected Value Analysis
An approach to decision-making under uncertainty that evaluates options based on the probability-weighted average of their possible outcomes.
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An approach to decision-making under uncertainty that evaluates options based on the probability-weighted average of their possible outcomes.
The maximum value of completely resolving uncertainty in a specific subset of a model's parameters, while other parameters remain uncertain.
The maximum amount a decision-maker should pay to eliminate all uncertainty surrounding a technology decision, comparing outcomes under perfect versus existing information.
The expected benefit of conducting a specific, finite study with a defined sample size and design, only partially resolving existing uncertainty.
A method setting premiums based on the actual historical claims experience of a specific individual or group, rather than a community average.
The systematic planning of an empirical study to allow valid causal inference, including decisions about randomisation, control groups, and study conditions.
A technique identifying an underlying set of factors explaining correlations among observed variables, without a predetermined hypothesis, unlike confirmatory factor analysis.
A probability distribution characterised by a constant hazard rate over time, used to model event timing when risk is assumed not to change.
A survival model assuming time-to-event data follow an exponential distribution, implying a constant hazard rate throughout the modelled time horizon.
A form of economic evaluation that extends standard cost-effectiveness analysis by incorporating financial risk protection and the distribution of costs and benefits by income.
A situation where an intervention is not dominated by any single alternative but is inferior to a combination of two other options.
The process of identifying interventions subject to extended dominance by comparing each option's ICER against that of the next most effective alternative.
An externality is a cost or benefit arising from production or consumption that affects third parties and is not fully reflected in the decision-maker’s private costs or benefits.
The process of projecting a clinical outcome, such as survival, beyond a trial's observed follow-up period, typically using a fitted parametric model.
A statistical approach characterising the behaviour of the most extreme, rather than typical, values a variable can take, based on extreme value distribution theory.
A continuous probability distribution arising from the ratio of two independent chi-square variables divided by their degrees of freedom, underlying analysis of variance.
A technique identifying a smaller number of underlying, unobserved factors accounting for the pattern of correlations among a larger set of measured variables.
In factor analysis, a value indicating the strength of the relationship between an observed variable and an underlying latent factor.
A technique transforming an initial factor solution into a more interpretable structure, typically by maximising the contrast between high and low loadings.
A trial design evaluating two or more interventions simultaneously by assigning participants to every possible combination, revealing each effect and any interaction.