Cohort Simulation
The process of running a Markov model by tracking the proportion of a hypothetical cohort in each health state over cycles, not individual patients.
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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.
A modelling approach dividing a population into distinct compartments, such as susceptible, infected, and recovered, and tracking flow between them over time.
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.
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 survival pattern where the instantaneous risk of an event stays the same at every point in time, matching an exponential distribution.
A mathematical approach to finding the best outcome, such as maximum health benefit, subject to limiting conditions, such as a fixed budget.
A parameter in an infectious disease model representing how often individuals come into contact with one another in a way that could transmit infection.
A mathematical model in which time or another key variable flows continuously rather than advancing in discrete steps.
A variance reduction technique exploiting a related quantity with known expected value to reduce the variance of the estimate actually wanted.
The property of an iterative process, such as a Markov chain Monte Carlo run, settling into a stable pattern reflecting the target distribution.
A statistical measure of how closely two variables move together, ranging from negative one to positive one.
A table showing the pairwise statistical correlation between each pair of variables, used to represent how uncertain model parameters move together.
A widely used survival model estimating covariate effects, such as treatment, on the hazard rate while leaving the baseline hazard function unspecified.
A residual used to check a survival model's overall fit, which should follow a standard exponential distribution if the fitted model is correct.
A statistical technique assessing how well a model generalises to independent data, typically by repeatedly splitting data into fitting and testing subsets.
The total accumulated risk of an event by a given point in time, found by integrating the instantaneous hazard rate up to that point.
The proportion of a population modelled as having no residual risk of the disease-specific event after successful treatment, effectively behaving as cured.