Latent Class Model
A statistical model that assumes a population consists of unobserved subgroups with distinct preferences, estimating both each subgroup's traits and individual membership probability.
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A statistical model that assumes a population consists of unobserved subgroups with distinct preferences, estimating both each subgroup's traits and individual membership probability.
A latent growth model is a structural equation model treating each patient's starting level and rate of change in repeated health scores as latent factors.
Latent transition analysis (LTA) is a longitudinal latent class method that estimates how patients move between unobserved health or behaviour states.
A latent variable is an unobserved quantity, such as health-related quality of life or preference class membership, estimated from observed indicators.
Latin hypercube sampling is a stratified Monte Carlo design that draws each input to a health economic model once from each of n equally likely intervals.
The law of large numbers says the average of independent patient costs or simulation draws settles on the true mean as more are added.
Least squares approximation estimates the coefficients of a chosen model by minimizing the sum of squared residuals between observed or target values and the corresponding model values.
Leave-one-out cross-validation tests a cost or risk prediction model by refitting it without each observation in turn and predicting the one left out.
Left censoring occurs when a patient's event, such as disease onset, is known only to have happened before the first observation, at an unknown time.
Left truncation (delayed entry) occurs when people join a survival analysis risk set after time zero and are observed only if still event free at entry.
A leverage point is an observation, such as one patient in a cost regression, whose predictor values lie far from the rest and can pull the fitted model.
Life expectancy is the average number of further years people of a given age would live under stated death rates, a core input to health economic models.
A life table shows how many of an imagined group survive and die at each age under set death rates, giving survival and life expectancy for health models.
The life table (actuarial) method estimates survival from deaths and withdrawals in fixed intervals, treating withdrawals as at risk for half an interval.
Life years gained (LYG) are the extra years of mean survival an intervention gives over its comparator, without quality adjustment, in economic evaluation.
A likelihood ratio is how many times as likely a test result or other evidence is under one hypothesis, such as having a disease, as under another.
The likelihood ratio test (LRT) compares nested models, such as Weibull and exponential survival curves, to judge whether extra parameters improve fit.
A Lindahl equilibrium is an equilibrium for a public good, such as disease surveillance, where personal prices equal marginal benefits and sum to its cost.
The linear pool is a weighted average of several experts' probability distributions, giving one input distribution for a health economic model.
Linear programming identifies the best feasible allocation of limited resources when the objective and constraints can be expressed as linear relationships.