Pages that link to "Item:Q5189933"
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The following pages link to Bootstrap Methods for Developing Predictive Models (Q5189933):
Displaying 8 items.
- A new variable selection approach using random forests (Q2361222) (← links)
- Confidence interval for the risk-score index (Q2513655) (← links)
- Categorical variables with many categories are preferentially selected in bootstrap-based model selection procedures for multivariable regression models (Q2806852) (← links)
- Residual bootstrap method: an approach to model validation (Q2885073) (← links)
- Predicting Using Box-Jenkins, Nonparametric, and Bootstrap Techniques (Q4864358) (← links)
- A comparison of model selection methods for prediction in the presence of multiply imputed data (Q4967098) (← links)
- The practical utility of incorporating model selection uncertainty into prognostic models for survival data (Q5313609) (← links)
- Estimation of a predictor's importance by random forests when there is missing data: RISK prediction in liver surgery using laboratory data (Q6632702) (← links)
