Optimal Categorisation of Continuous Variables in Prediction Models
Categorisation of Continuous Predictor Variables in Regression Models.
Function to obtain optimal cut points to categorise a continuous predi...
Function to obtain optimal cut points to categorise a continuous predi...
Selection of optimal number of cut points
Selection of optimal number of cut points
A bootstrap-based hypothesis test to select the best number of categor...
Control function
Control function
Plot the optimal cut points.
Plot the optimal cut points.
Summary method for catpredi objects
Summary method for objects of class "catpredi.survival"
Allows the user to categorise a continuous predictor variable in a logistic or a Cox proportional hazards regression setting, by maximising the discriminative ability of the model. I Barrio, I Arostegui, MX Rodriguez-Alvarez, JM Quintana (2015) <doi:10.1177/0962280215601873>. I Barrio, MX Rodriguez-Alvarez, L Meira-Machado, C Esteban, I Arostegui (2017) <https://www.idescat.cat/sort/sort411/41.1.3.barrio-etal.pdf>.