Model selection for logistic regression via association rules analysis

DOI10.1080/00949655.2012.662231zbMath1453.62592OpenAlexW2145700195MaRDI QIDQ5218875

Dennis K. J. Lin, Pannapa Changpetch

Publication date: 6 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2012.662231

zbMATH Keywords

model selectioninteraction effectslogistic regression modelsassociation rules analysis

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12)

Related Items (1)

Logistic regression model with TreeNet and association rules analysis: applications with medical datasets

Uses Software

• C4.5

Cites Work

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• The Adaptive Lasso and Its Oracle Properties
• Least angle regression. (With discussion)
• The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
• Penalized logistic regression for detecting gene interactions
• Comments on «Wavelets in statistics: A review» by A. Antoniadis
• A new look at the statistical model identification

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