Cutpoint Selection for Categorizing a Continuous Predictor

DOI10.1111/j.0006-341X.2004.00196.xzbMath1274.62426OpenAlexW2162744183WikidataQ43948745 ScholiaQ43948745MaRDI QIDQ3442982

Sean M. O'Brien

Publication date: 25 May 2007

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.2004.00196.x

zbMATH Keywords

smoothingregression treemultiple changepoint fittingoptimal categorizationpiecewise constant regression

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric estimation (62G05)

Related Items (3)

Inference in segmented line regression: a simulation study ⋮ Subject-specific odds ratios in binomial GLMMs with continuous response ⋮ A general approach to categorizing a continuous scale according to an ordinal outcome

Uses Software

• R
• rpart

Cites Work

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• Estimating the number of change-points via Schwarz' criterion
• An Effective Bandwidth Selector for Local Least Squares Regression
• Note on Grouping
• On variance estimation in nonparametric regression
• Multiple changepoint fitting via quasilikelihood, with application to DNA sequence segmentation
• Spatially Adaptive Regression Splines and Accurate Knot Selection Schemes

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