Pages that link to "Item:Q2806831"

The following pages link to Pitfalls of hypothesis tests and model selection on bootstrap samples: causes and consequences in biometrical applications (Q2806831):

Displaying 9 items.

• Random forest for ordinal responses: prediction and variable selection (Q1659465) (← links)
• An update on statistical boosting in biomedicine (Q1664502) (← links)
• Subsampling versus bootstrapping in resampling-based model selection for multivariable regression (Q2805220) (← links)
• Categorical variables with many categories are preferentially selected in bootstrap-based model selection procedures for multivariable regression models (Q2806852) (← links)
• Analyzing large datasets with bootstrap penalization (Q2980232) (← links)
• On stability issues in deriving multivariable regression models (Q3451367) (← links)
• The use of components’ weights improves the diagnostic accuracy of a health-related index (Q5860776) (← links)
• Stability of clinical prediction models developed using statistical or machine learning methods (Q6595097) (← links)
• Selection of variables for multivariable models: opportunities and limitations in quantifying model stability by resampling (Q6627893) (← links)