Akaike Information CriterionAIC, Akaike Criterion
A statistic comparing the relative quality of candidate statistical models fitted to the same data, penalising those with more parameters.
Survival Analysis
Terms for analysing time-to-event data and extrapolating survival curves for use in economic models.
- Topic: Survival Analysis
- 38 terms
- Editor reviewed
Background MortalityBackground Hazard, General-Population Hazard, Baseline Population Hazard
The rate of death from causes unrelated to the disease being studied, applied within a model alongside any additional disease-specific mortality risk.
Bayesian Information CriterionBIC, Schwarz Criterion
A statistic comparing candidate models fitted to the same data, similar to the Akaike criterion but penalising complexity more as sample size grows.
CensoringCensored Data, Censored Observation
Censoring occurs in time-to-event data when an individual's event time is not observed exactly but is known only to lie beyond, before, or within a recorded time boundary.
Cox Proportional HazardsCox Model, Cox Regression
The Cox proportional hazards model is a semiparametric survival model that relates covariates to the instantaneous event rate while leaving the baseline hazard unspecified.
Cumulative HazardIntegrated Hazard, Accumulated Hazard
The total accumulated risk of an event by a given point in time, found by integrating the instantaneous hazard rate up to that point.
Cure ModelStatistical Cure Model, Cure-Fraction Model, Survival Cure Model
A cure model is a survival model that represents a subgroup whose disease-related excess event risk eventually disappears while accounting for the remaining risk specified by the model.
Exponential ModelExponential Survival Model, Constant-Hazard Model
A survival model assuming time-to-event data follow an exponential distribution, implying a constant hazard rate throughout the modelled time horizon.