Handling co-dependence issues in resampling-based variable selection procedures: a simulation study

DOI10.1080/00949655.2017.1378654OpenAlexW2758910631MaRDI QIDQ4960525

Riccardo De Bin, Willi Sauerbrei

Publication date: 23 April 2020

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

Full work available at URL: http://hdl.handle.net/10852/59344

zbMATH Keywords

correlationbootstrapmodel buildinginclusion frequencies

Mathematics Subject Classification ID

Bootstrap, jackknife and other resampling methods (62F40) Contingency tables (62H17) Statistical ranking and selection procedures (62F07)

Uses Software

• s4vdpca

Cites Work

• To explain or to predict?
• Regression with linear predictors. With 171 illustrations by Therese Graversen.
• On properties of predictors derived with a two-step bootstrap model averaging approach -- a simulation study in the linear regression model
• Subsampling versus bootstrapping in resampling-based model selection for multivariable regression
• On stability issues in deriving multivariable regression models
• Multivariable Model‐Building
• Some Surprising Results about Covariate Adjustment in Logistic Regression Models
• The Use of Resampling Methods to Simplify Regression Models in Medical Statistics
• Stability Selection

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