The following pages link to A. Hapfelmeier (Q892439):
Displaying 15 items.
- (Q434921) (redirect page) (← links)
- Recursive partitioning on incomplete data using surrogate decisions and multiple imputation (Q434924) (← links)
- A new variable importance measure for random forests with missing data (Q892440) (← links)
- Variable selection by random forests using data with missing values (Q1623702) (← links)
- Nonparametric subgroup identification by PRIM and CART: a simulation and application study (Q1705332) (← links)
- A simulation study comparing different statistical approaches for the identification of predictive biomarkers (Q2003678) (← links)
- A new variable selection approach using random forests (Q2361222) (← links)
- Subgroup identification by recursive segmentation (Q5036362) (← links)
- Making complex prediction rules applicable for readers: Current practice in random forest literature and recommendations (Q5208212) (← links)
- (Q5415559) (← links)
- Tree models for assessing covariate-dependent method agreement (Q5983557) (← links)
- coat (Q5983558) (← links)
- Efficient permutation testing of variable importance measures by the example of random forests (Q6113742) (← links)
- Confidence interval estimation for the changepoint of treatment stratification in the presence of a qualitative covariate-treatment interaction (Q6627272) (← 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)
