A survival tree method for the analysis of discrete event times in clinical and epidemiological studies.Survival trees are a popular alternative to parametric survival modeling when there are interactions between the predictor variables or when the aim is to stratify patients into prognostic subgroups.  A limitation of classical survival tree methodology is that most algorithms for tree construction are designed for continuous outcome variables.  To address this issue, we develop a method for discrete survival tree construction.  By applying the proposed method to data from a randomized trial in patients with filarial lymphedema, we demonstrate how discrete survival trees can be used to identify clinically relevant patient groups with similar survival behavior.
survival tree
A survival tree method for the analysis of discrete event times in clinical and epidemiological studies.Survival trees are a popular alternative to parametric survival modeling when there are interactions between the predictor variables or when the aim is to stratify patients into prognostic subgroups. 
discrete event times
A survival tree method for the analysis of discrete event times in clinical and epidemiological studies.Survival trees are a popular alternative to parametric survival modeling when there are interactions between the predictor variables or when the aim is to stratify patients into prognostic subgroups. 
epidemiological studies