Autoregressive Correlation
A statistical structure describing how repeated measurements on the same individual are correlated over time, closer measurements typically more strongly correlated.
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A statistical structure describing how repeated measurements on the same individual are correlated over time, closer measurements typically more strongly correlated.
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.
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.
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 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.
A statistical approach updating probability estimates as new evidence arrives, used to combine prior information with observed trial data in modelling.
The ratio of the monetised value of a programme's benefits to its costs, used as a summary measure in cost-benefit analysis.
A stated preference method in which respondents identify both the most and least preferred items from a set, rather than ranking every item.
A flexible probability distribution bounded between zero and one, commonly used to represent uncertainty in probability parameters.
The predetermined acceptable probability of failing to detect a true effect, with one minus beta defining a study's statistical power.
The variability in an outcome measure observed across different individuals in a study, unlike within-subject variation in a single person's repeated measurements.
The tension in statistical modelling between a model's systematic error, or bias, and its sensitivity to the specific sample used to fit it, or variance.
A discrete probability distribution describing the number of successes in a fixed number of independent trials with the same success probability each.
An estimate of a parameter's statistical uncertainty, calculated as the standard deviation of its value across many resampled datasets via bootstrapping.
A resampling technique estimating a statistic's sampling distribution by repeatedly drawing random samples, with replacement, from the original observed data.