References in zbMATH (referenced in 23 articles )

Showing results 1 to 20 of 23.
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  1. Schmid, Matthias; Welchowski, Thomas; Wright, Marvin N.; Berger, Moritz: Discrete-time survival forests with Hellinger distance decision trees (2020)
  2. Cafri, Guy; Calhoun, Peter; Fan, Juanjuan: High dimensional variable selection with clustered data: an application of random multivariate survival forests for detection of outlier medical device components (2019)
  3. Jaeger, Byron C.; Long, D. Leann; Long, Dustin M.; Sims, Mario; Szychowski, Jeff M.; Min, Yuan-I; McClure, Leslie A.; Howard, George; Simon, Noah: Oblique random survival forests (2019)
  4. Steingrimsson, Jon Arni; Diao, Liqun; Strawderman, Robert L.: Censoring unbiased regression trees and ensembles (2019)
  5. Dazard, Jean-Eudes; Ishwaran, Hemant; Mehlotra, Rajeev; Weinberg, Aaron; Zimmerman, Peter: Ensemble survival tree models to reveal pairwise interactions of variables with time-to-events outcomes in low-dimensional setting (2018)
  6. Moradian, Hoora; Larocque, Denis; Bellavance, François: (L_1) splitting rules in survival forests (2017)
  7. Pande, Amol; Li, Liang; Rajeswaran, Jeevanantham; Ehrlinger, John; Kogalur, Udaya B.; Blackstone, Eugene H.; Ishwaran, Hemant: Boosted multivariate trees for longitudinal data (2017)
  8. Ishwaran, Hemant: The effect of splitting on random forests (2015)
  9. Lang, M.; Kotthaus, H.; Marwedel, P.; Weihs, C.; Rahnenführer, J.; Bischl, B.: Automatic model selection for high-dimensional survival analysis (2015)
  10. Zhou, Yan; McArdle, John J.: Rationale and applications of survival tree and survival ensemble methods (2015)
  11. Sexton, Joseph; Laake, Petter: Boosted coefficient models (2012)
  12. Ulla Mogensen; Hemant Ishwaran; Thomas Gerds: Evaluating Random Forests for Survival Analysis Using Prediction Error Curves (2012) not zbMATH
  13. Yuan, Ao; Xu, Jinfeng; Zheng, Gang: Root- estimability of some missing data models (2012)
  14. Bou-Hamad, Imad; Larocque, Denis; Ben-Ameur, Hatem: A review of survival trees (2011)
  15. Porzelius, Christine: Model complexity selection in high-dimensional time-to-event data analysis (2011)
  16. Porzelius, Christine; Schumacher, Martin; Binder, Harald: The benefit of data-based model complexity selection via prediction error curves in time-to-event data (2011)
  17. Chen, Xi; Wang, Lily; Ishwaran, Hemant: An integrative pathway-based clinical-genomic model for cancer survival prediction (2010)
  18. Ishwaran, Hemant; Kogalur, Udaya B.: Consistency of random survival forests (2010)
  19. Ishwaran, Hemant; Kogalur, Udaya B.; Gorodeski, Eiran Z.; Minn, Andy J.; Lauer, Michael S.: High-dimensional variable selection for survival data (2010)
  20. Siroky, David S.: Navigating random forests and related advances in algorithmic modeling (2009)

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