Statistical Fit
A measure of how well a specified statistical model's predictions align with observed data, judging whether the specification adequately fits the pattern.
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A measure of how well a specified statistical model's predictions align with observed data, judging whether the specification adequately fits the pattern.
The probability that a statistical test will correctly detect a true effect of a specified size, calculated as one minus the beta level.
A judgement that an observed result is unlikely to have occurred by chance under the null hypothesis, based on a p-value below a threshold.
A pharmacokinetic condition where a drug's concentration remains stable because the rate of administration equals the rate of elimination.
A method of allocating support department costs to operating departments in sequence, so that once allocated, no further costs return to that department.
An analysis in which a model incorporates randomness explicitly, so repeated runs under the same inputs can produce different results, unlike a deterministic model.
An optimisation framework incorporating parameter uncertainty directly into the process, seeking a solution that performs well across possible parameter values.
A system dynamics structure representing accumulations, called stocks, such as infected individuals, and the rates of change into and out of them, called flows.
A variant of the log-rank test accounting for stratifying variables, comparing survival within each stratum before combining into an overall statistic.
A sampling technique dividing a population into distinct subgroups, called strata, and drawing a separate sample from each to ensure adequate representation.
A situation where one intervention is unambiguously better than another because it is both less costly and more effective.
A modelling framework combining factor analysis and regression to test hypothesised relationships among observed and unobserved, latent variables.
A sensitivity analysis testing how results change under alternative structural assumptions, such as a different survival extrapolation function, rather than parameter values.
Uncertainty from the choice of a model's fundamental structure or method, such as which health states to include, unlike parameter uncertainty within a given structure.
A standardised residual excluding an observation's own contribution to the model fit, a more robust diagnostic for identifying influential data points.
A measure of the progressivity of a tax or financing system, using a concentration curve plotting cumulative tax burden against cumulative income.
The phenomenon in which providers, using their informational advantage, influence the quantity or type of care demanded beyond what informed patients would choose.
The quantity of a good or service producers are willing and able to offer for sale at a given price over a specified period.
A graph showing the relationship between price and the quantity producers are willing to supply, typically sloping upward as price rises.
A branch of statistics concerned with the time until an event of interest occurs, appropriately accounting for censored observations.