Average Cost-Effectiveness
A measure comparing an intervention's total cost to its total effect, without reference to an alternative comparator.
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 measure comparing an intervention's total cost to its total effect, without reference to an alternative comparator.
The total cost of an intervention divided by its total health effect, calculated for each option rather than as a comparison.
A measure found by dividing total patient-days within a facility by discharges over the same period, an indicator of efficiency.
The mean difference in outcomes that would occur if every member of a population received a treatment versus a comparator instead.
The rate of death from causes unrelated to the disease under study, applied to represent risk a patient would face regardless of the condition.
A branch of economic theory analysing how parties negotiate to reach a mutually acceptable agreement when their interests partly conflict.
The average number of secondary infections produced by one infected person in a fully susceptible population with no interventions in place.
A trial design evaluating a single treatment, often targeting a specific genetic marker, across multiple disease types simultaneously, rather than one disease.
A hazard pattern that is high early in follow-up, declines to a stable middle period, then rises again later, resembling a bathtub's shape.
A phenomenon in which wages in labour-intensive, low-productivity-growth sectors rise alongside wages in high-productivity sectors, driving up the labour-intensive sector's relative cost.
A mathematical formula describing how to update the probability of a hypothesis based on new evidence, combining a prior probability with a likelihood.
A trial design using Bayesian statistics to formally update hypothesis probabilities as data accumulate, allowing pre-specified adaptive decisions such as early stopping.
A general statistical approach combining prior beliefs with observed data to produce updated posterior beliefs, unlike classical frequentist methods.
The application of Bayesian statistical methods to cost-effectiveness analysis, combining prior beliefs with observed trial data to produce posterior distributions.
A statistic comparing candidate models fitted to the same data, similar to the Akaike criterion but penalising complexity more as sample size grows.
An approach combining evidence across studies using Bayesian methods, formally incorporating prior information to produce a posterior effect estimate distribution.
A statistical approach updating probability estimates as new evidence arrives, used to combine prior information with observed trial data in modelling.
A measure of how frequently a hospital bed is used by different patients, calculated by dividing discharges by average available beds.
A statistical test for detecting publication bias in a meta-analysis, based on the rank correlation between effect size and its variance.
The ratio of the monetised value of a programme's benefits to its costs, used as a summary measure in cost-benefit analysis.