Cholesky Decomposition
A matrix factorisation technique decomposing a covariance matrix to generate correlated random samples from otherwise independently sampled parameters.
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 matrix factorisation technique decomposing a covariance matrix to generate correlated random samples from otherwise independently sampled parameters.
A favourable effect of an intervention on how a patient feels, functions or survives relative to an appropriate comparator.
A cancer outcome measure combining complete response, partial response, and stable disease rates, giving a broader benefit picture than response rate alone.
A statistical technique grouping individuals into subsets, called clusters, so members within a cluster are more similar to each other than to outsiders.
A standardised measure of effect size expressing the difference between two group means in units of their pooled standard deviation.
A decision-analytic model simulating the average experience of a defined group of patients moving through health states, rather than tracking each individually.
The process of running a Markov model by tracking the proportion of a hypothetical cohort in each health state over cycles, not individual patients.
The complete record of the proportion of a modelled cohort occupying each health state at every cycle, produced by a Markov cohort model.
A variance reduction technique using the same sequence of random numbers across simulations of different alternatives, reducing the variance of their difference.
In factor analysis, the proportion of a variable's total variance explained by the underlying common factors, distinct from variance specific to it alone.
The alternative intervention, treatment, or strategy against which a new option is evaluated in an economic evaluation.
A modelling approach dividing a population into distinct compartments, such as susceptible, infected, and recovered, and tracking flow between them over time.
A monetary measure of the change in wellbeing from a price or policy change, the sum needed after the change to restore original utility.
A situation where a person is at risk of more than one type of event, so one event's occurrence prevents another from ever happening.
A diagnostic detecting problematic collinearity among predictor variables, calculated from the eigenvalues of the predictor matrix, larger values meaning worse collinearity.
The probability that an event will occur given that another specified event has already occurred, calculated from their joint probability.
A graphical region, typically on a cost-effectiveness plane, showing where the true joint value of incremental cost and effect is expected to fall.
A range of values, calculated from sample data, expected to contain the true population parameter with a specified level of confidence.
The statistical process of calculating a range of plausible values for an unknown parameter based on sample data and a specified confidence level.
A technique testing whether a hypothesised factor structure adequately explains observed correlations among measured variables, unlike exploratory factor analysis.