Proportional Hazards Assumption
The Cox model assumption that the hazard ratio between two groups stays constant over follow-up, even as the absolute hazard rate changes.
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The Cox model assumption that the hazard ratio between two groups stays constant over follow-up, even as the absolute hazard rate changes.
A number generated by a deterministic algorithm that approximates the statistical properties of true randomness, used because genuine randomness is hard to compute.
A descriptive statistic dividing a ranked dataset into four equal-sized groups, marking the twenty-fifth, fiftieth, and seventy-fifth percentiles.
A mathematical model describing how entities wait in line for limited servers, used to analyse average waiting time and server utilisation.
A financial ratio calculated as current assets excluding inventory, divided by current liabilities, a more conservative liquidity measure than the current ratio.
In a mixed effects model, the components representing how individual units, such as patients, vary around an overall average relationship.
The computational process of producing a sequence of numbers approximating true randomness, used to sample parameter values in probabilistic health economic models.
A discrete choice model that lets preference parameters vary randomly across individuals according to a specified distribution, rather than assuming identical preferences.
A dispersion measure calculated as the difference between the maximum and minimum values in a dataset, sensitive to extreme outliers.
The mathematical transformation converting a continuous-time hazard rate into the probability of an event occurring within a discrete time interval.
A reference case is a documented set of preferred methodological choices that an institution asks analysts to follow so economic evaluations are transparent, consistent and comparable for a defined decision context.
Statistical techniques modelling the relationship between one or more predictor variables and an outcome variable, from simple linear to survival regression.
A measure comparing the dose intensity a patient actually received to the originally planned, full dose intensity, expressed as a percentage.
The absolute error expressed as a proportion or percentage of the true or accepted value.
A survival measure comparing observed survival in a population to expected survival in a comparable general population, without needing cause-of-death data.
A statistical model estimating disease-specific survival by comparing observed survival against expected general population survival, without individual cause-of-death data.
A statistical approach analysing data in which the same outcome has been measured multiple times on the same individuals, accounting for correlation.
The difference between an observed value and the value predicted for it by a fitted statistical model.
A statistical technique examining the differences between a model's predicted values and observed data, checking for systematic patterns left unexplained.
A fitted mathematical approximation describing how a model's output varies with its inputs, built from limited runs and used to predict untested combinations.