Cutpoint selection for categorizing a continuous predictor.

@article{OBrien2004CutpointSF,
  title={Cutpoint selection for categorizing a continuous predictor.},
  author={Sean M. O'Brien},
  journal={Biometrics},
  year={2004},
  volume={60 2},
  pages={
          504-9
        }
}
This article presents a new approach for choosing the number of categories and the location of category cutpoints when a continuous exposure variable needs to be categorized to obtain tabular summaries of the exposure effect. The optimum categorization is defined as the partition that minimizes a measure of distance between the true expected value of the outcome for each subject and the estimated average outcome among subjects in the same exposure category. To estimate the optimum partition, an… CONTINUE READING

Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 23 CITATIONS

Biomarker discovery in heart failure

VIEW 12 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

A general approach to categorizing a continuous scale according to an ordinal outcome.

VIEW 1 EXCERPT
CITES BACKGROUND

A Simulation Study of Categorizing Continuous Exposure Variables Measured with Error in Autism Research: Small Changes with Large Effects.

VIEW 1 EXCERPT
CITES BACKGROUND