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Sample size impact on the categorisation of continuous variables in clinical prediction
Recent advances in information technologies are generating a growth in the amount of available biomedical data. In this paper, we studied the impact sample size may have on the categorisation of a continuous predictor ...
A new approach to categorize continuous variables in prediction models: Proposal and validation
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 ...
Comparison of two discrimination indexes in the categorisation of continuous predictors in time-to-event studies
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 ...