Título:
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Comparison of two discrimination indexes in the categorisation of continuous predictors in time-to-event studies
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Autor/a:
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Barrio Beraza, Irantzu; Rodríguez-Álvarez, María Xosé; Meira-Machado, Luis; Esteban, Cristóbal; Arostegui, Inmaculada
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Abstract:
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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. |
Materia(s):
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-Categorisation -Prediction models -Cutpoint -Cox model |
Derechos:
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open access
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.
https://creativecommons.org/licenses/by-nc-nd/3.0/ |
Tipo de documento:
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Article |
Editor:
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Uri:
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https://ddd.uab.cat/record/176145
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