Exchangeable Correlation
A correlation structure for repeated measures assuming any two observations within the same cluster are equally correlated, regardless of their timing or order.
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A correlation structure for repeated measures assuming any two observations within the same cluster are equally correlated, regardless of their timing or order.
A technique identifying an underlying set of factors explaining correlations among observed variables, without a predetermined hypothesis, unlike confirmatory factor analysis.
A continuous probability distribution arising from the ratio of two independent chi-square variables divided by their degrees of freedom, underlying analysis of variance.
A technique identifying a smaller number of underlying, unobserved factors accounting for the pattern of correlations among a larger set of measured variables.
In factor analysis, a value indicating the strength of the relationship between an observed variable and an underlying latent factor.
A technique transforming an initial factor solution into a more interpretable structure, typically by maximising the contrast between high and low loadings.
A trial design evaluating two or more interventions simultaneously by assigning participants to every possible combination, revealing each effect and any interaction.
A technique for calculating a confidence interval around the ratio of two normally distributed variables, useful for measures such as the ICER.
A statistical model representing a population as a combination of a finite number of distinct subgroups, each following its own probability distribution.
A meta-analysis model assuming all included studies estimate the same true effect, with observed variation attributed entirely to sampling error.
An approach to combining evidence assuming all studies estimate a single common true effect, weighting purely by statistical precision.
A panel data modelling approach estimating a separate intercept for each individual or group, controlling for all its time-invariant characteristics.
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 planned interim analysis assessing whether accumulating data suggest a trial is highly unlikely to show a significant treatment effect.
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 modelling framework extending linear regression to non-normal outcomes, such as binary or count data, via a specified link function.
A trial design incorporating planned interim analyses with predefined stopping boundaries, allowing early termination for efficacy, futility, or safety.
A technique identifying distinct subgroups following similar patterns of change over time, without assuming everyone follows the same single trajectory.
A modelling approach describing how an outcome changes over time within individuals, estimating both an average trajectory and individual variation around it.