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Comparison of two discrimination indexes in the categorisation of continuous predictors in time-to-event studies
Barrio Beraza, Irantzu (Universidad del País Vasco. Departamento de Matemática Aplicada, Estadística e Investigación Operativa)
Rodríguez-Álvarez, María Xosé (Universidade de Vigo. Departamento de Estadística e Investigación Operativa)
Meira-Machado, Luis (Universidade do Minho (Braga, Portugal). Centre of Mathematics and Department of Mathematics and Applications)
Esteban, Cristóbal (Hospital de Galdakao (Usansolo, Biscaia))
Arostegui Madariaga, Inmaculada (Universidad del País Vasco. Departamento de Matemática Aplicada, Estadística e Investigación Operativa)

Date: 2017
Abstract: The Cox proportional hazards model is the most widely used survival prediction model for analysing time-to-event data. To measure the discrimination ability of a survival model the concordance probability index is widely used. In this work we studied and compared the performance of two different estimators of the concordance probability when a continuous predictor variable is categorised in a Cox proportional hazards regression model. In particular, we compared the c-index and the concordance probability estimator. We evaluated the empirical performance of both estimators through simulations. To categorise the predictor variable we propose a methodology which considers the maximal discrimination attained for the categorical variable. We applied this methodology to a cohort of patients with chronic obstructive pulmonary disease, in particular, we categorised the predictor variable forced expiratory volume in one second in percentage.
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Language: Anglès
Document: article ; recerca ; Versió publicada
Subject: Categorisation ; Prediction models ; Cutpoint ; Cox model
Published in: SORT : statistics and operations research transactions, Vol. 41 Núm. 1 (January-June 2017) , p. 73-92 (Articles) , ISSN 2013-8830

Adreça original: https://www.raco.cat/index.php/SORT/article/view/326049
DOI: 10.2436/20.8080.02.51


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The record appears in these collections:
Articles > Published articles > SORT
Articles > Research articles

 Record created 2017-06-23, last modified 2021-06-07



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