@article{aalen_1978,
  title        = {Nonparametric Inference for a Family of Counting Processes},
  author       = {Odd Aalen},
  year         = 1978,
  journal      = {The Annals of Statistics},
  publisher    = {Institute of Mathematical Statistics},
  volume       = 6,
  number       = 4,
  pages        = {701--726},
  url          = {http://www.jstor.org/stable/2958850}
}
@article{begg_2000,
  title        = {Comparing tumour staging and grading systems: a case study and a review of the issues,  using thymoma as a model},
  author       = {Colin B. Begg and Laura D. Cramer and E. S. Venkatraman and Juan Rosai},
  year         = 2000,
  journal      = {Statistics in Medicine},
  publisher    = {Wiley},
  volume       = 19,
  number       = 15,
  pages        = {1997--2014},
  doi          = {10.1002/1097-0258(20000815)19:15<1997::aid-sim511>3.0.co;2-c}
}
@book{breiman_1984,
  title        = {Classification And Regression Trees},
  author       = {Leo Breiman and Jerome H. Friedman and Richard A. Olshen and Charles J. Stone},
  year         = 1984,
  publisher    = {Routledge},
  doi          = {10.1201/9781315139470}
}
@article{breiman_2001,
  title        = {Random Forests},
  author       = {Breiman, Leo},
  year         = 2001,
  journal      = {Machine Learning},
  volume       = 45,
  number       = 1,
  pages        = {5--32},
  doi          = {10.1023/A:1010933404324},
  issn         = {1573-0565}
}
@article{buehlmann_2003,
  title        = {Boosting With the L2 Loss},
  author       = {Peter B\"{u}hlmann and Bin Yu},
  year         = 2003,
  month        = jun,
  journal      = {Journal of the American Statistical Association},
  publisher    = {Informa {UK} Limited},
  volume       = 98,
  number       = 462,
  pages        = {324--339},
  doi          = {10.1198/016214503000125}
}
@article{buehlmann_2006,
  title        = {Boosting for High-Dimensional Linear Models},
  author       = {Peter Bühlmann},
  year         = 2006,
  journal      = {The Annals of Statistics},
  publisher    = {Institute of Mathematical Statistics},
  volume       = 34,
  number       = 2,
  pages        = {559--583},
  url          = {http://www.jstor.org/stable/25463430}
}
@article{buehlmann_2007,
  title        = {Boosting Algorithms: Regularization,  Prediction and Model Fitting},
  author       = {Peter B\"{u}hlmann and Torsten Hothorn},
  year         = 2007,
  month        = nov,
  journal      = {Statistical Science},
  publisher    = {Institute of Mathematical Statistics},
  volume       = 22,
  number       = 4,
  pages        = {477--505},
  doi          = {10.1214/07-sts242}
}
@techreport{burges_2010,
  title        = {From RankNet to LambdaRank to LambdaMART: An Overview},
  author       = {Burges, Chris J.C.},
  year         = 2010,
  month        = jun,
  number       = {MSR-TR-2010-82},
  url          = {https://www.microsoft.com/en-us/research/publication/from-ranknet-to-lambdarank-to-lambdamart-an-overview/},
  institution  = {Microsoft Research}
}
@article{chambless_2006,
  title        = {Estimation of time-dependent area under the {ROC} curve for long-term risk prediction},
  author       = {Lloyd E. Chambless and Guoqing Diao},
  year         = 2006,
  journal      = {Statistics in Medicine},
  publisher    = {Wiley},
  volume       = 25,
  number       = 20,
  pages        = {3474--3486},
  doi          = {10.1002/sim.2299}
}
@article{cox_1972,
  title        = {Regression Models and Life-Tables},
  author       = {D. R. Cox},
  year         = 1972,
  month        = jan,
  journal      = {Journal of the Royal Statistical Society: Series B (Methodological)},
  publisher    = {Wiley},
  volume       = 34,
  number       = 2,
  pages        = {187--202},
  doi          = {10.1111/j.2517-6161.1972.tb00899.x}
}
@inproceedings{freund_1996,
  title        = {Experiments with a new boosting algorithm},
  author       = {Freund, Yoav and Schapire, Robert E and others},
  year         = 1996,
  booktitle    = {In: Thirteenth International Conference on ML},
  volume       = 96,
  pages        = {148--156},
  organization = {Citeseer}
}
@article{freund_1997,
  title        = {A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting},
  author       = {Yoav Freund and Robert E Schapire},
  year         = 1997,
  month        = aug,
  journal      = {Journal of Computer and System Sciences},
  publisher    = {Elsevier {BV}},
  volume       = 55,
  number       = 1,
  pages        = {119--139},
  doi          = {10.1006/jcss.1997.1504}
}
@article{friedman_2000,
  title        = {Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)},
  author       = {Jerome Friedman and Trevor Hastie and Robert Tibshirani},
  year         = 2000,
  month        = apr,
  journal      = {The Annals of Statistics},
  publisher    = {Institute of Mathematical Statistics},
  volume       = 28,
  number       = 2,
  pages        = {337--407},
  doi          = {10.1214/aos/1016218223}
}
@article{friedman_2001,
  title        = {Greedy Function Approximation: A Gradient Boosting Machine},
  author       = {Jerome H. Friedman},
  year         = 2001,
  journal      = {The Annals of Statistics},
  publisher    = {Institute of Mathematical Statistics},
  volume       = 29,
  number       = 5,
  pages        = {1189--1232},
  url          = {http://www.jstor.org/stable/2699986}
}
@article{friedman_2002,
  title        = {Stochastic gradient boosting},
  author       = {Jerome H. Friedman},
  year         = 2002,
  month        = feb,
  journal      = {Computational Statistics & Data Analysis},
  publisher    = {Elsevier {BV}},
  volume       = 38,
  number       = 4,
  pages        = {367--378},
  doi          = {10.1016/s0167-9473(01)00065-2}
}
@article{friedman_2010,
  title        = {Regularization Paths for Generalized Linear Models via Coordinate Descent},
  author       = {Jerome Friedman and Trevor Hastie and Robert Tibshirani},
  year         = 2010,
  journal      = {Journal of Statistical Software},
  publisher    = {Foundation for Open Access Statistic},
  volume       = 33,
  number       = 1,
  doi          = {10.18637/jss.v033.i01}
}
@article{goeman_2009,
  title        = {L1Penalized Estimation in the Cox Proportional Hazards Model},
  author       = {Jelle J. Goeman},
  year         = 2009,
  month        = nov,
  journal      = {Biometrical Journal},
  publisher    = {Wiley},
  pages        = {NA--NA},
  doi          = {10.1002/bimj.200900028}
}
@article{goenen_2005,
  title        = {Concordance probability and discriminatory power in proportional hazards regression},
  author       = {Mithat G\"{o}nen and Glenn Heller},
  year         = 2005,
  month        = dec,
  journal      = {Biometrika},
  publisher    = {Oxford University Press ({OUP})},
  volume       = 92,
  number       = 4,
  pages        = {965--970},
  doi          = {10.1093/biomet/92.4.965}
}
@article{graf_1999,
  title        = {Assessment and comparison of prognostic classification schemes for survival data},
  author       = {Erika Graf and Claudia Schmoor and Willi Sauerbrei and Martin Schumacher},
  year         = 1999,
  month        = sep,
  journal      = {Statistics in Medicine},
  publisher    = {Wiley},
  volume       = 18,
  number       = {17-18},
  pages        = {2529--2545},
  doi          = {10.1002/(sici)1097-0258(19990915/30)18:17/18<2529::aid-sim274>3.0.co;2-5}
}
@article{harrell_1982,
  title        = {Evaluating the yield of medical tests},
  author       = {Harrell, Frank E and Califf, Robert M and Pryor, David B and Lee, Kerry L and Rosati, Robert A},
  year         = 1982,
  journal      = {Jama},
  publisher    = {American Medical Association},
  volume       = 247,
  number       = 18,
  pages        = {2543--2546}
}
@article{hofner_2012,
  title        = {Model-based boosting in R: a hands-on tutorial using the R package mboost},
  author       = {Benjamin Hofner and Andreas Mayr and Nikolay Robinzonov and Matthias Schmid},
  year         = 2012,
  month        = dec,
  journal      = {Computational Statistics},
  publisher    = {Springer Science and Business Media {LLC}},
  volume       = 29,
  number       = {1-2},
  pages        = {3--35},
  doi          = {10.1007/s00180-012-0382-5}
}
@article{hothorn_2006,
  title        = {Unbiased Recursive Partitioning: A Conditional Inference Framework},
  author       = {Torsten Hothorn and Kurt Hornik and Achim Zeileis},
  year         = 2006,
  month        = sep,
  journal      = {Journal of Computational and Graphical Statistics},
  publisher    = {Informa {UK} Limited},
  volume       = 15,
  number       = 3,
  pages        = {651--674},
  doi          = {10.1198/106186006x133933}
}
@article{hothorn_2010,
  title        = {Model-based boosting 2.0},
  author       = {Hothorn, Torsten and B{\"u}hlmann, Peter and Kneib, Thomas and Schmid, Matthias and Hofner, Benjamin},
  year         = 2010,
  journal      = {Journal of Machine Learning Research},
  volume       = 11,
  number       = {Aug},
  pages        = {2109--2113},
  url          = {http://www.jmlr.org/papers/v11/hothorn10a.html}
}
@article{hung_2010,
  title        = {Estimation methods for time-dependent AUC models with survival data},
  author       = {Hung Hung and Chin-Tsang Chiang},
  year         = 2010,
  journal      = {The Canadian Journal of Statistics / La Revue Canadienne de Statistique},
  publisher    = {Statistical Society of Canada, Wiley},
  volume       = 38,
  number       = 1,
  pages        = {8--26},
  url          = {http://www.jstor.org/stable/27805213}
}
@article{ishwaran_2008,
  title        = {Random survival forests},
  author       = {Ishwaran, Hemant and Kogalur, Udaya B and Blackstone, Eugene H and Lauer, Michael S and others},
  year         = 2008,
  journal      = {The annals of applied statistics},
  publisher    = {Institute of Mathematical Statistics},
  volume       = 2,
  number       = 3,
  pages        = {841--860}
}
@book{kalbfleisch_2002,
  title        = {The Statistical Analysis of Failure Time Data},
  author       = {John D. Kalbfleisch and Ross L. Prentice},
  year         = 2002,
  month        = aug,
  publisher    = {John Wiley & Sons,  Inc.},
  doi          = {10.1002/9781118032985}
}
@article{kaplan_1958,
  title        = {Nonparametric Estimation from Incomplete Observations},
  author       = {E. L. Kaplan and Paul Meier},
  year         = 1958,
  month        = jun,
  journal      = {Journal of the American Statistical Association},
  publisher    = {Informa {UK} Limited},
  volume       = 53,
  number       = 282,
  pages        = {457--481},
  doi          = {10.1080/01621459.1958.10501452}
}
@article{kneib_2008,
  title        = {Variable Selection and Model Choice in Geoadditive Regression Models},
  author       = {Thomas Kneib and Torsten Hothorn and Gerhard Tutz},
  year         = 2008,
  month        = aug,
  journal      = {Biometrics},
  publisher    = {Wiley},
  volume       = 65,
  number       = 2,
  pages        = {626--634},
  doi          = {10.1111/j.1541-0420.2008.01112.x}
}
@phdthesis{kriegler_2007,
  title        = {Cost-Sensitive Stochastic Gradient Boosting Within a Quantitative Regression Framework},
  author       = {Kriegler, Brian},
  year         = 2007,
  url          = {https://dl.acm.org/citation.cfm?id=1354603},
  school       = {University of California at Los Angeles}
}
@article{nagelkerke_1991,
  title        = {A note on a general definition of the coefficient of determination},
  author       = {Nagelkerke, Nico JD and others},
  year         = 1991,
  journal      = {Biometrika},
  publisher    = {Oxford University Press},
  volume       = 78,
  number       = 3,
  pages        = {691--692}
}
@article{nelson_1969,
  title        = {Hazard Plotting for Incomplete Failure Data},
  author       = {Wayne Nelson},
  year         = 1969,
  month        = jan,
  journal      = {Journal of Quality Technology},
  publisher    = {Informa {UK} Limited},
  volume       = 1,
  number       = 1,
  pages        = {27--52},
  doi          = {10.1080/00224065.1969.11980344}
}
@article{nelson_1972,
  title        = {Theory and Applications of Hazard Plotting for Censored Failure Data},
  author       = {Wayne Nelson},
  year         = 1972,
  month        = nov,
  journal      = {Technometrics},
  publisher    = {Informa {UK} Limited},
  volume       = 14,
  number       = 4,
  pages        = {945--966},
  doi          = {10.1080/00401706.1972.10488991}
}
@article{oquigley_2005,
  title        = {Explained randomness in proportional hazards models},
  author       = {John O'Quigley and Ronghui Xu and Janez Stare},
  year         = 2005,
  journal      = {Statistics in Medicine},
  publisher    = {Wiley},
  volume       = 24,
  number       = 3,
  pages        = {479--489},
  doi          = {10.1002/sim.1946}
}
@article{ridgeway_1999,
  title        = {The state of boosting},
  author       = {Ridgeway, Greg},
  year         = 1999,
  journal      = {Computing Science and Statistics},
  number       = 31,
  pages        = {172--181}
}
@article{royston_2002,
  title        = {Flexible parametric proportional-hazards and proportional-odds models for censored survival data,  with application to prognostic modelling and estimation of treatment effects},
  author       = {Patrick Royston and Mahesh K. B. Parmar},
  year         = 2002,
  journal      = {Statistics in Medicine},
  publisher    = {Wiley},
  volume       = 21,
  number       = 15,
  pages        = {2175--2197},
  doi          = {10.1002/sim.1203}
}
@article{schmid_2008,
  title        = {Boosting additive models using component-wise P-Splines},
  author       = {Matthias Schmid and Torsten Hothorn},
  year         = 2008,
  month        = dec,
  journal      = {Computational Statistics & Data Analysis},
  publisher    = {Elsevier {BV}},
  volume       = 53,
  number       = 2,
  pages        = {298--311},
  doi          = {10.1016/j.csda.2008.09.009}
}
@article{song_2008,
  title        = {A semiparametric approach for the covariate specific ROC curve with survival outcome},
  author       = {Song, Xiao and Zhou, Xiao-Hua},
  year         = 2008,
  journal      = {Statistica Sinica},
  volume       = 18,
  number       = 3,
  pages        = {947--65},
  url          = {http://www.jstor.org/stable/24308524}
}
@article{uno_2007,
  title        = {Evaluating Prediction Rules fort-Year Survivors With Censored Regression Models},
  author       = {Hajime Uno and Tianxi Cai and Lu Tian and L. J Wei},
  year         = 2007,
  month        = jun,
  journal      = {Journal of the American Statistical Association},
  publisher    = {Informa {UK} Limited},
  volume       = 102,
  number       = 478,
  pages        = {527--537},
  doi          = {10.1198/016214507000000149}
}
@article{uno_2011,
  title        = {On the C-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data},
  author       = {Hajime Uno and Tianxi Cai and Michael J. Pencina and Ralph B. D'Agostino and L. J. Wei},
  year         = 2011,
  journal      = {Statistics in Medicine},
  publisher    = {Wiley},
  pages        = {n/a--n/a},
  doi          = {10.1002/sim.4154}
}
@article{vanbelle_2010,
  title        = {Improved performance on high-dimensional survival data by application of Survival-{SVM}},
  author       = {V. Van Belle and K. Pelckmans and S. Van Huffel and J. A. K. Suykens},
  year         = 2010,
  month        = nov,
  journal      = {Bioinformatics},
  publisher    = {Oxford University Press ({OUP})},
  volume       = 27,
  number       = 1,
  pages        = {87--94},
  doi          = {10.1093/bioinformatics/btq617}
}
@article{vanbelle_2011,
  title        = {Support vector methods for survival analysis: a comparison between ranking and regression approaches},
  author       = {Vanya Van Belle and Kristiaan Pelckmans and Sabine Van Huffel and Johan A.K. Suykens},
  year         = 2011,
  month        = oct,
  journal      = {Artificial Intelligence in Medicine},
  publisher    = {Elsevier {BV}},
  volume       = 53,
  number       = 2,
  pages        = {107--118},
  doi          = {10.1016/j.artmed.2011.06.006}
}
@article{wright_2017,
  title        = {{ranger}: A Fast Implementation of Random Forests for High Dimensional Data in {C++} and {R}},
  author       = {Wright, Marvin N. and Ziegler, Andreas},
  year         = 2017,
  journal      = {Journal of Statistical Software},
  volume       = 77,
  number       = 1,
  pages        = {1--17},
  doi          = {10.18637/jss.v077.i01}
}
@article{xu_1999,
  title        = {A R2 type measure of dependence for proportional hazards models},
  author       = {Ronghui Xu and John O'Quigley},
  year         = 1999,
  month        = jan,
  journal      = {Journal of Nonparametric Statistics},
  publisher    = {Informa {UK} Limited},
  volume       = 12,
  number       = 1,
  pages        = {83--107},
  doi          = {10.1080/10485259908832799}
}


@article{jaeger_2019,
  title = {Oblique random survival forests},
  volume = {13},
  issn = {1932-6157, 1941-7330},
  url = {https://projecteuclid.org/euclid.aoas/1571277776},
  doi = {10.1214/19-AOAS1261},
  language = {EN},
  number = {3},
  urldate = {2019-10-19},
  journal = {The Annals of Applied Statistics},
  author = {Jaeger, Byron C. and Long, D. Leann and Long, Dustin M. and Sims, Mario and Szychowski, Jeff M. and Min, Yuan-I. and Mcclure, Leslie A. and Howard, George and Simon, Noah},
  month = sep,
  year = {2019},
  keywords = {machine learning, Random forest, survival, cardiovascular disease, penalized regression},
  pages = {1847--1883}
}

@book{silverman_1986,
  address = {London},
  author = {Silverman, B. W.},
  biburl = {https://www.bibsonomy.org/bibtex/25c3b630fb0a76da55942a77551fde8a2/pierpaolo.pk81},
  description = {WSD},
  interhash = {caf150ab6a2f46dfe3f0e74864480d03},
  intrahash = {5c3b630fb0a76da55942a77551fde8a2},
  keywords = {imported},
  publisher = {Chapman \& Hall},
  timestamp = {2007-02-27T16:22:14.000+0100},
  title = {Density Estimation for Statistics and Data Analysis},
  year = 1986
}


@article{chen_2016,
  title = {{XGBoost}: {A} {Scalable} {Tree} {Boosting} {System}},
  shorttitle = {{XGBoost}},
  url = {http://arxiv.org/abs/1603.02754},
  journal = {Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '16},
  author = {Chen, Tianqi and Guestrin, Carlos},
  year = {2016},
  note = {arXiv: 1603.02754},
  keywords = {Computer Science - Machine Learning},
  pages = {785--794}
}

@article{binder_2009,
	author = {Binder, H. and Allignol, A. and Schumacher, M. and Beyersmann, J.},
	year = {2009},
    title = {Boosting for high-dimensional time-to-event data with competing risks},
    journal = {Bioinformatics},
    pages = {890--896},
    volume = {25}
}
