Cutpoint selection for categorizing a continuous predictor.
Publication
, Journal Article
O'Brien, SM
Published in: Biometrics
June 2004
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 efficient nonparametric estimate of the unknown regression function is substituted into a formula for the asymptotically optimum categorization. This new approach is easy to implement and it outperforms existing cutpoint selection methods.
Duke Scholars
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Published In
Biometrics
DOI
ISSN
0006-341X
Publication Date
June 2004
Volume
60
Issue
2
Start / End Page
504 / 509
Location
England
Related Subject Headings
- Tuberculosis, Pulmonary
- Tanzania
- Statistics & Probability
- Regression Analysis
- Models, Statistical
- Humans
- HIV Infections
- Epidemiologic Methods
- Biometry
- Age Factors
Citation
APA
Chicago
ICMJE
MLA
NLM
O’Brien, S. M. (2004). Cutpoint selection for categorizing a continuous predictor. Biometrics, 60(2), 504–509. https://doi.org/10.1111/j.0006-341X.2004.00196.x
O’Brien, Sean M. “Cutpoint selection for categorizing a continuous predictor.” Biometrics 60, no. 2 (June 2004): 504–9. https://doi.org/10.1111/j.0006-341X.2004.00196.x.
O’Brien SM. Cutpoint selection for categorizing a continuous predictor. Biometrics. 2004 Jun;60(2):504–9.
O’Brien, Sean M. “Cutpoint selection for categorizing a continuous predictor.” Biometrics, vol. 60, no. 2, June 2004, pp. 504–09. Pubmed, doi:10.1111/j.0006-341X.2004.00196.x.
O’Brien SM. Cutpoint selection for categorizing a continuous predictor. Biometrics. 2004 Jun;60(2):504–509.
Published In
Biometrics
DOI
ISSN
0006-341X
Publication Date
June 2004
Volume
60
Issue
2
Start / End Page
504 / 509
Location
England
Related Subject Headings
- Tuberculosis, Pulmonary
- Tanzania
- Statistics & Probability
- Regression Analysis
- Models, Statistical
- Humans
- HIV Infections
- Epidemiologic Methods
- Biometry
- Age Factors