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A new approach to categorize continuous variables in prediction models: Proposal and validation 

Barrio, I.; Arostegui, I.; Rodríguez-Álvarez, M.X.; Quintana, J.M. (2017-12)
When developing prediction models for application in clinical practice, health practitioners usually categorise clinical variables that are continuous in nature. Although categorisation is not regarded as advisable from ...
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Comparison of two discrimination indexes in the categorisation of continuous predictors in time-to-event studies 

Barrio, I.; Rodríguez-Álvarez, M.X.; Meira-Machado, L.; Esteban, C.; Arostegui, I. (2017-04)
The Cox proportional hazards model is the most widely used survival prediction model for analysing timeto-event data. To measure the discrimination ability of a survival model the concordance probability index is widely ...

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AuthorArostegui, I. (2)Barrio, I. (2)Rodríguez-Álvarez, M.X. (2)Esteban, C. (1)Meira-Machado, L. (1)Quintana, J.M. (1)Subjectcategorisation (2)
cut point (2)
prediction models (2)
Cox model (1)validation (1)... View MoreDate Issued
2017 (2)

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