Bibliographic Details
| Summary: | 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. |
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| Main Authors: | Barrio, Irantzu |
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| Other Authors: | Rodríguez-Álvarez, María Xosé; Machado, Luís Meira; Esteban, Cristobal; Arostegui, Inmaculada |
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| Subject: | Categorisation Prediction models Cutpoint Cox model Ciências Naturais::Matemáticas |
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| Year: | 2017 |
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| Country: | Portugal |
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| Document type: | article |
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| Access type: | restricted access |
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| Associated institution: | Universidade do Minho |
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| Language: | English |
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| Origin: | RepositóriUM - Universidade do Minho |
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