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 Matemáticas)
Rodríguez-Álvarez, María Xosé (Universidade de Vigo. Departamento de Estatística 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, Inmaculada (Universidad del País Vasco. Departamento de Matemáticas)

Data:	2017
Resum:	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.
Drets:	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.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Categorisation ; Prediction models ; Cutpoint ; Cox model
Publicat a:	SORT : statistics and operations research transactions, Vol. 41 Núm. 1 (January-June 2017) , p. 73-92 (Articles) , ISSN 2013-8830

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

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