Determination of the Selection Statistics and Best Significance Level in Backward Stepwise Logistic Regression

DOI10.1080/03610910701723625zbMath1319.62133OpenAlexW1967186445MaRDI QIDQ5451117

Qinggang Wang, Catherine A. Mills, John J. Koval, Kang-In David Lee

Publication date: 18 March 2008

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

Full work available at URL: https://doi.org/10.1080/03610910701723625

zbMATH Keywords

stopping criterialogistic regressionerror rateselection criteriabackward stepwise

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Generalized linear models (logistic models) (62J12)

Uses Software

• SAS/IML
• SAS
• SAS/STAT

Cites Work

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• Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation
• How Biased is the Apparent Error Rate of a Prediction Rule?
• Comparison of Stopping Rules in Forward Stepwise Discriminant Analysis
• Comparison of Stopping Rules in Forward "Stepwise" Regression
• Wald's Test as Applied to Hypotheses in Logit Analysis
• Applied regression analysis bibliography update 1994-97
• Determination of the best significance level in forward stepwise logistic regression
• A family of multivariate binary distributions for simulating correlated binary variables with specified marginal means and correlations
• Sample-Based Classification Procedures Derived from Density Estimators
• Linear Statistical Inference and its Applications

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