Median Regression Tree for Analysis of Censored Survival Data

• Published in: IEEE transactions on systems, man and cybernetics. Part A, Systems and humans Vol. 38; no. 3; pp. 715 - 726
• Main Authors: Cho, Hyung Jun, Hong, Seung-Mo
• Format: Journal Article
• Language: English
• Published: IEEE 01.05.2008
• Subjects: Accelerated failure time model; Algorithm design and analysis; Algorithms; Failure analysis; Failure times; Hazards; Linear regression; Mathematical models; median regression; Medical treatment; Predictive models; quantile regression; Quantiles; recursive partitioning; Regression; Regression analysis; Regression tree analysis; Risk analysis; Survival; Tree data structures; tree-structured method; Trees; quantile regression; median regression; Accelerated failure time model; tree-structured method; recursive partitioning

Median linear regression modeling is a natural approach for analyzing censored survival or failure time data. A median linear model lends itself to a simple interpretation that is particularly suitable for making direct predictions of survival or failure times. We propose a new, unique, and efficien...