Central Limit Theorem
A statistical theorem stating that the sample mean of enough independent, identically distributed variables approximates a normal distribution regardless of the underlying shape.
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A statistical theorem stating that the sample mean of enough independent, identically distributed variables approximates a normal distribution regardless of the underlying shape.
A point in a decision tree where the pathway followed is determined by probability rather than choice, branches summing to one.
A continuous probability distribution arising from the sum of squared standard normal variables, underlying tests such as goodness of fit.
A stated preference method in which respondents repeatedly pick their preferred option from sets of hypothetical alternatives that vary across defined attributes.
A form of conjoint analysis in which respondents choose their preferred option from a set of alternatives rather than rating each one individually.
A matrix factorisation technique decomposing a covariance matrix to generate correlated random samples from otherwise independently sampled parameters.
A measure of the frequency of central line-associated bloodstream infections within a facility, tracking infection prevention performance for catheter care.
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 randomisation technique in which entire groups, such as clinics, rather than individuals, are randomly assigned to different treatment conditions.
A standardised measure of effect size expressing the difference between two group means in units of their pooled standard deviation.
An observational design following a group sharing a common starting characteristic forward in time to observe a subsequent outcome of interest.
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 cost-sharing form in which an insured person pays a fixed percentage of a covered service's cost, with the insurer paying the rest.
The specific percentage of a covered service's cost an insured person is responsible for paying under a coinsurance arrangement.
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.