Survival Analysis is widely used in the biosciences to quantify survivorship in a population under study. OriginPro includes three widely used tests - the Kaplan-Meier (product-limit) Estimator, the Cox Proportional Hazards Model and the Weibull Fit.
Kaplan-Meier Estimator, a non-parametric estimator, uses product-limit methods to estimate the survival function from lifetime data.
In addition to estimating the survival functions, Kaplan-Meier Estimator in Origin provides three other methods to compare the survival function between two samples
- Log Rank
Cox Proportional Hazard Model
The proportional hazards model, also called Cox model, is a classical semi-parameter method. It relates the time of an event, usually death or failure, to a number of explanatory variables known as covariates.
Weibull fit is a parameter method to analyze the relationship between the survival function and the failure time. We suppose that the survival function follows a Weibull distribution and fit the model with a maximum likelihood estimation.