Cutpoint determination methods in competing risks subdistribution model

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 compe...

Full description

Bibliographic Details
Main Authors: Ibrahim, Noor Akma, Kudus, Abdul, Daud, Isa, Abu Bakar, Mohd Rizam
Format: Article
Language:English
Published: Universiti Kebangsaan Malaysia 2009
Online Access:http://psasir.upm.edu.my/id/eprint/51836/
http://psasir.upm.edu.my/id/eprint/51836/1/Cutpoint%20determination%20methods%20in%20competing%20risks%20subdistribution%20model.pdf
_version_ 1848851941403131904
author Ibrahim, Noor Akma
Kudus, Abdul
Daud, Isa
Abu Bakar, Mohd Rizam
author_facet Ibrahim, Noor Akma
Kudus, Abdul
Daud, Isa
Abu Bakar, Mohd Rizam
author_sort Ibrahim, Noor Akma
building UPM Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-15T10:30:11Z
format Article
id upm-51836
institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T10:30:11Z
publishDate 2009
publisher Universiti Kebangsaan Malaysia
recordtype eprints
repository_type Digital Repository
spelling upm-518362017-05-02T08:03:46Z http://psasir.upm.edu.my/id/eprint/51836/ Cutpoint determination methods in competing risks subdistribution model Ibrahim, Noor Akma Kudus, Abdul Daud, Isa Abu Bakar, Mohd Rizam 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. Universiti Kebangsaan Malaysia 2009 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/51836/1/Cutpoint%20determination%20methods%20in%20competing%20risks%20subdistribution%20model.pdf 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 http://www.ukm.my/jqma/jqma5_1a.html
spellingShingle Ibrahim, Noor Akma
Kudus, Abdul
Daud, Isa
Abu Bakar, Mohd Rizam
Cutpoint determination methods in competing risks subdistribution model
title Cutpoint determination methods in competing risks subdistribution model
title_full Cutpoint determination methods in competing risks subdistribution model
title_fullStr Cutpoint determination methods in competing risks subdistribution model
title_full_unstemmed Cutpoint determination methods in competing risks subdistribution model
title_short Cutpoint determination methods in competing risks subdistribution model
title_sort cutpoint determination methods in competing risks subdistribution model
url http://psasir.upm.edu.my/id/eprint/51836/
http://psasir.upm.edu.my/id/eprint/51836/
http://psasir.upm.edu.my/id/eprint/51836/1/Cutpoint%20determination%20methods%20in%20competing%20risks%20subdistribution%20model.pdf