CatPredi-package: Categorisation of Continuous Predictor Variables in...

Description Author(s) References

Description

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. The categorisation can be done either in a univariate or a multivariate setting.

Author(s)

Irantzu Barrio, Maria Xose Rodriguez-Alvarez and Inmaculada Arostegui

Maintainer: Irantzu Barrio <irantzu.barrio@ehu.eus>

References

I Barrio, I Arostegui, M.X Rodriguez-Alvarez and J.M Quintana (2015). A new approach to categorising continuous variables in prediction models: proposal and validation. Statistical Methods in Medical Research, in press.

I Barrio, M.X Rodriguez-Alvarez, L Meira-Machado, C Esteban and I Arostegui (2017). Comparison of two discrimination indexes in the categorisation of continuous predictors in time-to-event studies. SORT, 41:73-92


CatPredi documentation built on May 2, 2019, 2:26 p.m.