Fractional Polynomial
A flexible modelling technique representing a non-linear relationship using a small number of power transformations of a continuous variable.
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 flexible modelling technique representing a non-linear relationship using a small number of power transformations of a continuous variable.
A survival model incorporating an unobserved random effect, called frailty, to represent risk heterogeneity not captured by observed covariates.
A statistical inference approach based on the long-run frequency properties of estimators, calculated from observed data alone, unlike a Bayesian approach.
An approach combining evidence using classical frequentist methods, producing a point estimate and confidence interval without formally incorporating prior beliefs.
A productivity loss valuation approach estimating only the cost of the finite period needed to restore normal production, generally lower than human capital estimates.
An economic evaluation comparing two or more alternatives in terms of both costs and consequences, unlike a partial evaluation examining costs or outcomes alone.
A method comparing more than two mutually exclusive interventions by ranking them by effectiveness and calculating each option's ICER against the next best alternative.
A cost analysis limited to the most basic categories of direct medical cost, without extension into indirect or intangible categories.
A planned interim analysis assessing whether accumulating data suggest a trial is highly unlikely to show a significant treatment effect.
The value a present sum of money will grow to after a specified period, given a particular rate of return.
The application of game theory, the study of strategic interaction, to problems such as price negotiations, provider competition, or vaccination decisions.
A flexible probability distribution capable of representing increasing, decreasing, or constant hazard patterns, commonly used for time-to-event and cost data.
A survival model assuming time-to-event data follow a gamma distribution, allowing hazard rates that increase, decrease, or stay constant over time.
A flexible statistical framework modelling an unknown function by treating any finite set of its values as jointly normally distributed.
A non-parametric technique modelling an unknown function by treating any finite set of outputs as jointly normally distributed, giving predictions with uncertainty.
A numerical integration technique approximating a definite integral using a weighted sum of function values at strategically chosen points.
A form of cost-effectiveness analysis comparing a broad set of interventions against a common null counterfactual rather than against current practice.
A method analysing repeated measures or clustered data, estimating population-average effects while accounting for within-cluster correlation, without a full random effects specification.
A highly flexible parametric survival model encompassing several other distributions, including the exponential, Weibull, and log-normal, as special cases.
A flexible probability distribution including the gamma, Weibull, and log-normal distributions as special cases, capable of representing many hazard shapes.