Kaplan-Meier EstimatorKM Estimator, Kaplan-Meier Survival Estimate, Product Limit Estimator
The Kaplan–Meier estimator calculates a non-parametric estimate of the survival function when follow-up can be right-censored.
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
Landmark AnalysisLandmark Method, Landmark Survival Analysis
A survival technique restricting analysis to patients event-free up to a predefined time point, then examining survival from that point forward.
Log-Logistic ModelLoglogistic Regression Model, Fisk Survival Model
A survival model based on the log-logistic distribution, representing a hazard function that rises to a peak and then declines.
Log-Normal ModelLognormal Survival Model, Lognormal AFT
A survival model based on the log-normal distribution, capable of representing a hazard that rises then falls, similar in shape to log-logistic.
Log-Rank TestMantel-Cox Test, Mantel-Haenszel Survival Test
The log-rank test is a nonparametric hypothesis test that compares the event-time distributions of two or more groups by accumulating observed-minus-expected events across distinct event times while accounting for right censoring.
Mixture Cure ModelTwo-Component Survival Model, Incidence-Latency Model
A cure model treating the population as a mixture of a cured fraction facing only background mortality and an uncured fraction remaining at risk.
Overall SurvivalOS, Total Survival
Overall survival is the time from a prespecified origin, such as randomization, diagnosis, or treatment initiation, until death from any cause, with participants not known to have died censored at their last date known alive.
Parametric Survival ModelParametric Time-to-Event Model, Survival Distribution Model
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.