Pages that link to "Item:Q736636"
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The following pages link to Boosting in Cox regression: a comparison between the likelihood-based and the model-based approaches with focus on the R-packages \textit{CoxBoost} and \textit{mboost} (Q736636):
Displaying 9 items.
- Model-based boosting in R: a hands-on tutorial using the R package mboost (Q110461) (← links)
- On the choice and influence of the number of boosting steps for high-dimensional linear Cox-models (Q722722) (← links)
- An update on statistical boosting in biomedicine (Q1664502) (← links)
- Pathway-based kernel boosting for the analysis of genome-wide association studies (Q1705355) (← links)
- A likelihood-based boosting algorithm for factor analysis models with binary data (Q2076167) (← links)
- Penalized semiparametric Cox regression model on XGBoost and random survival forests (Q6073566) (← links)
- A boosting first-hitting-time model for survival analysis in high-dimensional settings (Q6103255) (← links)
- A review on statistical and machine learning competing risks methods (Q6625438) (← links)
- Super learner for survival data prediction (Q6636051) (← links)
