Pages that link to "Item:Q3451367"
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The following pages link to On stability issues in deriving multivariable regression models (Q3451367):
Displaying 16 items.
- PBoostGA: pseudo-boosting genetic algorithm for variable ranking and selection (Q333348) (← links)
- Stability of the partial sum process of residuals in a multiple linear regression model (Q891052) (← links)
- Detection of influential points as a byproduct of resampling-based variable selection procedures (Q1658400) (← links)
- Visualization and assessment of model selection uncertainty (Q2101381) (← links)
- Exploration of the variability of variable selection based on distances between bootstrap sample results (Q2303056) (← links)
- IPF-LASSO: integrative \(L_1\)-penalized regression with penalty factors for prediction based on multi-omics data (Q2405418) (← links)
- Subsampling versus bootstrapping in resampling-based model selection for multivariable regression (Q2805220) (← links)
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- (Q3817466) (← links)
- Variable selection – A review and recommendations for the practicing statistician (Q4563248) (← links)
- Handling co-dependence issues in resampling-based variable selection procedures: a simulation study (Q4960525) (← links)
- Pruning variable selection ensembles (Q4970243) (← links)
- A novel bagging approach for variable ranking and selection via a mixed importance measure (Q5036437) (← links)
- Deep learning and differential equations for modeling changes in individual-level latent dynamics between observation periods (Q6594180) (← 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)
