Transition Matrix
A transition matrix is the table of probabilities of moving between, or staying in, health states in one cycle of a Markov model, with rows summing to one.
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A transition matrix is the table of probabilities of moving between, or staying in, health states in one cycle of a Markov model, with rows summing to one.
A transition probability is the chance of moving from one health state to another, or staying, during one cycle of a Markov or state-transition model.
A transmission model is an infectious disease model in which infection risk depends on how many people are infectious, so evaluations count herd effects.
The trapezoidal rule approximates a definite integral by replacing a curve with straight-line segments and summing the resulting trapezoid areas.
Treatment administration cost is the cost of giving a medicine to a patient, such as nurse and chair time and consumables; it varies by route.
A treatment sequence model is a decision model comparing ordered pathways of therapies, moving patients to the next line when a treatment fails or stops.
Treatment switching is when trial patients start a treatment they were not randomised to, typically control patients taking the new drug after progression.
Trend analysis estimates the long-run rise or fall in a health indicator over time, separating its underlying direction from seasonal and random variation.
Truncation occurs when people or values failing a selection rule are never recorded, as with late registry entry, and can bias survival and cost estimates.
A tunnel state is one of a fixed sequence of one-cycle temporary states in a Markov model, letting risks, costs or utilities vary with time in a state.
Two-way sensitivity analysis varies two inputs of a health economic model together over a grid of values to show which combinations change the decision.
A type I error is a false positive in hypothesis testing, rejecting a null hypothesis that is true, such as concluding that an ineffective treatment works.
A type II error is a false negative in hypothesis testing, when a study fails to reject a false null hypothesis and misses a real treatment effect.
Unbiasedness is the property of an estimator, such as a trial's mean cost, whose average over repeated samples equals the true value it estimates.
Uncertainty in health economics is imperfect knowledge of a model's true inputs, structure or methods, so the option chosen as best may prove to be wrong.
Uncertainty quantification (UQ) measures how uncertainty in a health economic model's inputs and structure carries into its costs, QALYs and decision.
The uniform distribution gives equal density to every value between two bounds and is used in health economic models for inputs known only by their range.
A unimodal hazard is an event rate that rises to a single peak and then falls, as log-logistic and log-normal survival models allow in HTA.
The unit of allocation is the patient, practice, hospital or other entity a trial randomises to each arm; the analysis must allow for that level.
Universal health coverage (UHC) means everyone can use the quality health services they need, when and where they need them, without financial hardship.