Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a survival tree begins with a dataset that includes covariates (predictor variables) and the survival time, along with a censoring indicator for each subject. The process involves the following steps:
Advantages and Disadvantages
Advantages:
Disadvantages:
From Chapter 15:
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