Decision tree for modeling survival data with competing risks

Authors

Kazeem Adesina Dauda, Kwara State University
Biswabrata Pradhan, Indian Statistical Institute, Kolkata
B. Uma Shankar, Indian Statistical Institute, Kolkata
Sushmita Mitra, Indian Statistical Institute, Kolkata

Article Type

Research Article

Publication Title

Biocybernetics and Biomedical Engineering

Abstract

This work considers decision tree for modeling survival data with competing risks. A Survival Classification and Regression Tree (SCART) technique is proposed for analysing survival data by modifying classification and regression tree (CART) algorithm to handle censored data for both regression and classification problems. Different performance measures for regression and classification tree are proposed. Model validation is done by two different cross-validation methods. Two real life data sets are analyzed for illustration. It is found that the proposed method improve upon the existing classical method for analysis of survival data with competing risks.

First Page

697

Last Page

708

DOI

10.1016/j.bbe.2019.05.001

Publication Date

7-1-2019

Recommended Citation

Dauda, Kazeem Adesina; Pradhan, Biswabrata; Uma Shankar, B.; and Mitra, Sushmita, "Decision tree for modeling survival data with competing risks" (2019). Journal Articles. 787.
https://digitalcommons.isical.ac.in/journal-articles/787