Extended Dominance
Extended dominance excludes an option in cost-effectiveness analysis when a blend of a less and a more effective option gives its health gain for less.
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Extended dominance excludes an option in cost-effectiveness analysis when a blend of a less and a more effective option gives its health gain for less.
An externality is a cost or benefit, such as antimicrobial resistance or herd immunity, that falls on third parties and is ignored by the person deciding.
Extra-welfarism is a branch of welfare economics that judges health policies by outcomes such as health or capability, not by individual utility alone.
Extrapolation is the projection of survival, treatment effects or costs beyond trial follow-up so an economic model can estimate lifetime outcomes.
The F distribution describes the ratio of two independent variance estimates and underlies F tests on cost and outcome regressions in health economics.
Factor analysis explains correlations among observed variables using a smaller number of unobserved latent factors.
A factor loading is a model-estimated coefficient that relates an observed variable to a latent factor under a specified factor-analytic measurement model.
Factor rotation transforms an extracted factor solution to make its loading pattern easier to interpret while preserving the model-implied common covariance under an equivalent transformation.
The Fieller method calculates a confidence interval for a ratio such as the ICER, allowing for joint uncertainty in the cost and effect differences.
A finite mixture model treats data such as patient costs or utilities as coming from a fixed number of hidden subgroups, each with its own distribution.
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.
Fixed effects are unit-specific terms in panel data regression that remove bias from stable unmeasured traits of patients, hospitals or areas.
The Fleming-Harrington estimator derives survival from censored trial data as the exponential of minus a cumulative hazard corrected for tied event times.
The Fleming-Harrington test is a weighted log-rank test whose two parameters tilt survival comparisons in trials and HTA towards early or late differences.
A flexible parametric model is a survival model that uses splines in time to fit complex hazard shapes, giving smooth curves for extrapolation in HTA.
Folding back is the backward evaluation of a decision tree that takes probability-weighted values at chance nodes and selects the preferred feasible action at decision nodes under a stated objective.
The force of infection is the rate at which a susceptible person acquires infection, the hazard driving dynamic models of vaccines and infection control.
A fractional polynomial is a regression function using one or two powers of a variable such as age or time to model curved effects on risk or survival.
A frailty model is a survival model in which an unobserved random effect multiplies each patient's hazard to capture risk differences that covariates miss.
Frequentist analysis judges estimates, tests and confidence intervals by their behaviour over repeated samples, as in trial-based economic evaluation.