Credible Interval Estimation
The Bayesian process of calculating a range of plausible values for a parameter based on its estimated posterior probability distribution.
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The Bayesian process of calculating a range of plausible values for a parameter based on its estimated posterior probability distribution.
The degree to which an instrument's scores correlate with an accepted external reference measure, either concurrently or in predicting a future outcome.
The specific threshold of a test statistic separating the region where a null hypothesis is rejected from where it is not.
A measure of how the quantity demanded of one good responds to a price change in a different good, such as a substitute or complement.
An observational design measuring exposure and outcome simultaneously in a population at a single point in time, rather than over time.
A statistical technique assessing how well a model generalises to independent data, typically by repeatedly splitting data into fitting and testing subsets.
A trial design in which each participant receives more than one treatment being compared, typically in random sequence separated by a washout period.
A trial in which participants sequentially receive two or more treatments under comparison, with each participant's response compared against their own.
A statistical mapping converting health state scores from one version of an instrument to an equivalent score on another version.
A piecewise polynomial interpolation method that fits smooth cubic curves between data points while maintaining continuity of the function and its derivatives.
The total accumulated risk of an event by a given point in time, found by integrating the instantaneous hazard rate up to that point.
The proportion of an initially disease-free population that develops a specific outcome over a defined follow-up period, a measure of average risk.
The proportion of a population modelled as having no residual risk of the disease-specific event after successful treatment, effectively behaving as cured.
A survival model separating a population into a cured subgroup facing only background mortality and an uncured subgroup remaining at risk of the disease event.
A survival model assuming a defined proportion of a population will never experience the event of interest, distinguishing this cured group from those still at risk.
A statistical model estimating both the proportion of a population considered cured and the survival distribution governing the remaining uncured population.
A financial ratio calculated as current assets divided by current liabilities, used to assess an organisation's ability to meet short-term obligations.
The statistical process of identifying the mathematical function that best represents an observed pattern of data, such as observed survival times.
A discrete unit of time in a Markov model during which patients may transition between health states, dividing the whole time horizon.
The duration of time represented by a single cycle within a Markov model, chosen based on the clinical context being modelled.