Variable Selection in Logistic Regression Models

DOI10.1081/SAC-200033363zbMath1101.62355OpenAlexW1964290367MaRDI QIDQ3155645

Günter E. Zellner, Dietmar Zellner, Frieder Keller

Publication date: 17 January 2005

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1081/sac-200033363

Mathematics Subject Classification ID

Related Items (7)

Predictive Influence of Unavailable Values of Future Explanatory Variables in a Linear Model ⋮ Improving the classification accuracy using biomarkers selected from machine learning methods ⋮ An approach for knowledge acquisition from a survey data by conducting Bayesian network modeling, adopting the robust coplot method ⋮ Robust variable selection in the logistic regression model ⋮ Variable selection in gamma regression models via artificial bee colony algorithm ⋮ Performance of Variable Selection Methods in Regression Using Variations of the Bayesian Information Criterion ⋮ Bayesian variable selection for logistic regression

Uses Software

• BMDP

Cites Work

• Bootstrap methods: another look at the jackknife
• A Simulation of Biased Estimation and Subset Selection Regression Techniques
• Comparison of Stopping Rules in Forward "Stepwise" Regression
• Determination of the best significance level in forward stepwise logistic regression

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