Standardised Mortality Ratio Application
The use of a standardised mortality ratio to adjust survival estimates for background mortality within a health economic model.
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The use of a standardised mortality ratio to adjust survival estimates for background mortality within a health economic model.
A regression diagnostic dividing an observation's raw residual by its estimated standard deviation, allowing comparison on a common scale.
A responsiveness statistic calculated as the mean score change over time divided by the standard deviation of that change, unlike an effect size.
The amount of time, typically in cycles, that a patient or cohort proportion spends within a given health state in a Markov model.
The cost or health outcome value assigned to a health state within a Markov model, accrued for each cycle a patient occupies it.
A modelling framework representing a system's evolution over time through a defined set of possible states and transition probabilities between them.
A general term for a decision-analytic model, such as a Markov model, representing disease progression as movement between defined health states.
A measure of how well a specified statistical model's predictions align with observed data, judging whether the specification adequately fits the pattern.
The probability that a statistical test will correctly detect a true effect of a specified size, calculated as one minus the beta level.
A quality management method using statistical techniques to monitor a process, distinguishing normal variation from a genuine, significant change requiring action.
A judgement that an observed result is unlikely to have occurred by chance under the null hypothesis, based on a p-value below a threshold.
A pharmacokinetic condition where a drug's concentration remains stable because the rate of administration equals the rate of elimination.
A method of allocating support department costs to operating departments in sequence, so that once allocated, no further costs return to that department.
An analysis in which a model incorporates randomness explicitly, so repeated runs under the same inputs can produce different results, unlike a deterministic model.
A parametric method estimating relative efficiency of comparable units by modelling an efficiency frontier while accounting for random statistical noise.
An optimisation framework incorporating parameter uncertainty directly into the process, seeking a solution that performs well across possible parameter values.
A simulation method that explicitly incorporates random variation to represent uncertainty in the behaviour of a system or process.
A system dynamics structure representing accumulations, called stocks, such as infected individuals, and the rates of change into and out of them, called flows.
Insurance coverage limiting a self-insured employer's maximum exposure by covering claims above a predefined threshold, individually or in aggregate.
A variant of the log-rank test accounting for stratifying variables, comparing survival within each stratum before combining into an overall statistic.