Cutpoint determination methods in competing risks subdistribution model

Citation

Ibrahim, Noor Akma and Kudus, Abdul and Daud, Isa and Abu Bakar, Mohd Rizam (2009) Cutpoint determination methods in competing risks subdistribution model. Journal of Quality Measurement and Analysis, 5 (1). pp. 103-117. ISSN 1823-5670

Abstract

In the analysis involving clinical and psychological data, by transforming a continuous predictor variable into a categorical variable, usually binary, a more interpretable model can be established. Thus, we consider the problem of obtaining a threshold value of a continuous covariate given a competing risk survival time response using a binary partitioning algorithm as a way to optimally partition data into two disjoint sets. Five cutpoint determination methods are developed based on regression of competing risks subdistribution. Simulation results show that the deviance method has the desired properties. Permutation test is used to assess the level of significance and bootstrap confidence interval is obtained for the optimal cutpoint. The deviance method is applied to determine cutpoint of age for a real dataset.

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Additional Metadata

Item Type:	Article
Divisions:	Institute for Mathematical Research
Publisher:	Universiti Kebangsaan Malaysia
Keywords:	Cutpoint; Competing risks; Binary partitioning; Regression analysis; 2-sample statistic; Subdistribution function
Depositing User:	Nabilah Mustapa
Date Deposited:	02 May 2017 08:03
Last Modified:	02 May 2017 08:03
URI:	http://psasir.upm.edu.my/id/eprint/51836
Statistic Details:	View Download Statistic

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