Terms for analysing time-to-event data and extrapolating survival curves for use in economic models.
A parametric survival model specifies a probability distribution for time to a defined event, enabling estimation of survival and hazard functions and projection beyond observed follow-up under stated assumptions.
An oncology modelling technique estimating the proportion of a cohort in each health state using separately fitted survival curves for different endpoints, rather than modelling transitions.
A survival model dividing follow-up into distinct segments, each modelled with a separate, often simpler function, letting the hazard shape vary in steps.
Progression-free survival is the time from a prespecified origin, usually randomisation or treatment initiation, until objectively defined disease progression or death from any cause, whichever occurs first.
The Cox model assumption that the hazard ratio between two groups stays constant over follow-up, even as the absolute hazard rate changes.