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TitleComparison of two discrimination indexes in the categorisation of continuous predictors in time-to-event studies
Author(s)Barrio, Irantzu
Rodríguez-Álvarez, María Xosé
Machado, Luís Meira
Esteban, Cristobal
Arostegui, Inmaculada
Prediction models
Cox model
Issue date2017
PublisherInstitut d'Estadística de Catalunya (Idescat)
Abstract(s)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.
Publisher version
AccessRestricted access (UMinho)
Appears in Collections:CMAT - Artigos em revistas com arbitragem / Papers in peer review journals

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