@book{andersen:1993:SMB,
  title = {Statistical Models Based on Counting Processes},
  author = {Per K Andersen and Ornulf Borgan and Richard D Gill and Niels Keiding},
  publisher = {Springer},
  address = {New York},
  year = {1993},
}

@manual{bache:2014:MFP,
  title = {{magrittr}: A Forward-Pipe Operator for R},
  author = {Stefan Milton Bache and Hadley Wickham},
  year = {2014},
  note = {R package version 1.5},
  url = {https://CRAN.R-project.org/package=magrittr},
}

@article{belisle:1992:CTC,
  author = {Claude J. P. Belisle},
  title = {Convergence theorems for a class of simulated annealing algorithms on Rd},
  journal = {Journal of Applied Probability},
  year = {1992},
  volume = {29},
  pages = {885--895},
}

@inproceedings{bouckaert:2004:ERS,
  author = {Remco R Bouckaert and Eibe Frank},
  title = {Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms},
  booktitle = {Advances in Knowledge Discovery and Data Mining},
  year = {2004},
  publisher = {Springer},
  address = {Berlin, Heidelberg},
  pages = {3--12}
}

@inproceedings{bratton:2007:DSP,
  author = {Bratton, Daniel and Kennedy, James},
  booktitle = {2007 IEEE Swarm Intelligence Symposium},
  title = {Defining a Standard for Particle Swarm Optimization},
  year = {2007},
  volume = {},
  number = {},
  pages = {120--127},
  doi = {10.1109/SIS.2007.368035}
}

@article{breiman:1996:SR,
  author = {Leo Breiman},
  title = {Stacked regression},
  journal = {Machine Learning},
  year = {1996},
  volume = {24},
  pages = {49--64},
}

@article{breslow:1972:DPC,
  author = {Norman E Breslow},
  title = {Discussion of {Professor Cox's} paper},
  journal = {Journal of the Royal Statistical Society, Series B},
  year = {1972},
  volume = {34},
  pages = {216--217},
}

@article{byrd:1994:LMA,
  author = {Byrd, Richard H. and Lu, Peihuang and Nocedal, Jorge and Zhu, Ciyou},
  title = {A Limited Memory Algorithm for Bound Constrained Optimization},
  journal = {SIAM Journal on Scientific Computing},
  volume = {16},
  number = {5},
  pages = {1190--1208},
  year = {1995},
  doi = {10.1137/0916069},
}

@inproceedings{davis:2006:RPR,
 author = {Jesse Davis and Mark Goadrich},
 title = {The Relationship Between Precision-Recall and {ROC} Curves},
 booktitle = {Proceedings of the 23rd International Conference on Machine Learning},
 series = {ICML '06},
 year = {2006},
 location = {Pittsburgh, Pennsylvania, USA},
 pages = {233--240},
 publisher = {ACM},
 address = {New York, NY, USA},
}

@book{davison:1997:BMA,
  author = {Anthony C Davison and David V Hinkley},
  title = {Bootstrap Methods and Their Application},
  year = {1997},
  publisher = {Cambridge University Press},
  address = {New York, NY, USA}
}

@inproceedings{efron:1967:PFB,
  author = {Bradley Efron},
  title = {The two sample problem with censored data},
  booktitle = {Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Volume 4: Biology and Problems of Health},
  publisher = {University of California Press},
  address = {Berkeley, California},
  year = {1967},
  pages = {831--853},
}

@article{efron:1977:ECL,
  author = {Bradley Efron},
  title = {The efficiency of {Cox's} likelihood function for censored data},
  journal = {Journal of the American Statistical Association},
  year = {1977},
  volume = {72},
  number = {359},
  pages = {557--565},
}

@article{efron:1983:LLB,
  author = {Bradley Efron and Gail Gong},
  title = {A leisurely look at the bootstrap, the jackknife, and cross-validation},
  journal = {The American Statistician},
  year = {1983},
  volume = {37},
  number = {1},
  pages = {36--48},
}

@article{efron:1986:HBA,
 author = {Bradley Efron},
 title = {How biased is the apparent error rate of a prediction rule?},
 journal = {Journal of the American Statistical Association},
 year = {1986},
 volume = {81},
 number = {394},
 pages = {461--470},
}

@book{efron:1993:IB,
  title = {An Introduction to the Bootstrap},
  author = {Bradley Efron and Robert J Tibshirani},
  publisher = {Chapman \& Hall/CRC},
  year = {1993},
  address = {Boca Raton, Florida, USA},
  number = {57},
  series = {Monographs on Statistics and Applied Probability}
}

@article{fawcett:2006:IRA,
  author = {Tom Fawcett},
  title = {An introduction to {ROC} analysis},
  journal = {Pattern Recognition Letters},
  year = {2006},
  volume = {27},
  number = {8},
  pages = {861--874},
}

@article{fisher:2019:AMW,
  author = {Aaron Fisher and Cynthia Rudin and Francesca Dominici},
  title = {models are wrong, but many are useful: learning a variable's importance by studying an entire class of prediction models simultaneously},
  journal = {Machine Learning Research},
  year = {2019},
  volume = {20},
  pages = {1--81},
}

@article{graf:1999:ACP,
  author = {Erika Graf and Claudia Schmoor and Willi Sauerbrei and Martin Schumacher},
  title = {Assessment and comparison of prognostic classification schemes for survival data},
  journal = {Statistics in Medicine},
  year = {1999},
  volume = {18},
  number = {17--18},
  pages = {2529--2545},
}

@manual{greenwell:2019:GBM,
  title = {{gbm}: Generalized Boosted Regression Models},
  author = {Brandon Greenwell and Bradley Boehmke and Jay Cunningham and GBM Developers},
  year = {2019},
  note = {R package version 2.1.5},
  url = {https://CRAN.R-project.org/package=gbm},
}

@article{harrell:1982:EYM,
  author = {Frank E Harrell and Robert M Califf and David B Pryor and Kerry L Lee and Robert A Rosati},
  title = {Evaluating the yield of medical tests},
  journal = {JAMA},
  volume = {247},
  number = {18},
  pages = {2543--2546},
  year = {1982},
}

@article{harrell:1996:MPM,
  author = {Frank E Harrell and Kerry L Lee and Daniel B Mark},
  title = {Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors},
  journal = {Statistics in Medicine},
  volume = {15},
  number = {4},
  pages = {361--387},
  year = {1996},
}

@book{hastie:2009:ESL,
  author = {Trevor Hastie and Robert Tibshirani and Jerome Friedman},
  title = {The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition},
  series = {Springer Series in Statistics},
  year = {2009},
  publisher = {Springer},
  address = {New York, NY, USA}
}

@inbook{hastie:2009:ESL7,
  author = {Trevor Hastie and Robert Tibshirani and Jerome Friedman},
  title = {The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition},
  series = {Springer Series in Statistics},
  chapter = {Model Assessment and Selection},
  year = {2009},
  publisher = {Springer},
  address = {New York, NY, USA}
}

@article{heagerty:2004:TDR,
  author = {Patrick J Heagerty and Thomas Lumley and Margaret S Pepe},
  title = {Time-dependent {ROC} curves for censored survival data and a diagnostic marker},
  journal = {Biometrics},
  year = {2004},
  volume = {56},
  number = {2},
  pages = {337--344},
}

@inproceedings{kohavi:1995:SCB,
 author = {Ron Kohavi},
 title = {A Study of Cross-validation and Bootstrap for Accuracy Estimation and Model Selection},
 booktitle = {Proceedings of the 14th International Joint Conference on Artificial Intelligence - Volume 2},
 series = {IJCAI'95},
 year = {1995},
 location = {Montreal, Quebec, Canada},
 pages = {1137--1143},
 publisher = {Morgan Kaufmann Publishers Inc.},
 address = {San Francisco, CA, USA},
}

@manual{kuhn:2020:RPT,
  title = {{recipes}: Preprocessing Tools to Create Design Matrices},
  author = {Max Kuhn and Hadley Wickham},
  year = {2020},
  note = {R package version 0.1.10},
  url = {https://CRAN.R-project.org/package=recipes},
}

@manual{microsoft:2019:DFP,
  title = {{doParallel}: Foreach Parallel Adaptor for the 'parallel' Package},
  author = {{Microsoft Corporation} and Steve Weston},
  year = {2019},
  note = {R package version 1.0.15},
  url = {https://CRAN.R-project.org/package=doParallel},
}

@manual{microsoft:2019:DFS,
  title = {{doSNOW}: Foreach Parallel Adaptor for the 'snow' Package},
  author = {{Microsoft Corporation} and Stephen Weston},
  year = {2019},
  note = {R package version 1.0.18},
  url = {https://CRAN.R-project.org/package=doSNOW},
}

@manual{microsoft:2019:FPF,
  title = {{foreach}: Provides Foreach Looping Construct for R},
  author = {{Microsoft} and Steve Weston},
  year = {2019},
  note = {R package version 1.4.7},
  url = {https://CRAN.R-project.org/package=foreach},
}

@article{nadeau:2003:IGE,
  title = {Inference for the generalization error},
  author = {Claude Nadeau and Yoshua Bengio},
  journal = {Machine Learning},
  year = {2003},
  volume = {52},
  pages = {239--281},
}

@article{perkins:2006:IOC,
  author = {Neil J Perkins and Enrique F Schisterman},
  title = {The inconsistency of "optimal" cutpoints obtained using two criteria based on the receiver operating characteristic curve},
  journal = {American Journal of Epidemiology},
  volume = {163},
  number = {7},
  pages = {670--675},
  year = {2006},
}

@misc{snoek:2012:PBO,
  author= {Jasper Snoek and Hugo Larochelle and Ryan P. Adams},
  title = {Practical {B}ayesian Optimization of Machine Learning Algorithms},
  year = {2012},
  eprint = {1206.2944},
  archivePrefix = {arXiv},
  primaryClass = {stat.ML}
}

@manual{therneau:2020:SA,
  title = {A Package for Survival Analysis in R},
  author = {Terry M Therneau},
  year = {2020},
  note = {R package version 3.1-12},
  url = {https://CRAN.R-project.org/package=survival},
}

@article{vanderLaan:2007:SL,
  author = {Mark J {van der Laan} and Eric C Polley and Alan E Hubbard},
  title = {Super learner},
  journal = {Statistical Applications in Genetics and Molecular Biology},
  year = {2007},
  volume = {6},
  number = {1},
}

@book{venables:2002:MAS,
  title = {Modern Applied Statistics with S},
  author = {William N Venables and Brian D Ripley},
  publisher = {Springer},
  edition = {Fourth},
  address = {New York},
  year = {2002},
  note = {ISBN 0-387-95457-0},
  url = {http://www.stats.ox.ac.uk/pub/MASS4},
}

@book{wickham:2016:GEG,
  author = {Hadley Wickham},
  title = {{ggplot2}: Elegant Graphics for Data Analysis},
  publisher = {Springer-Verlag New York},
  year = {2016},
  url = {https://ggplot2.tidyverse.org},
}

@article{youden:1950:IRD,
  author = {William J Youden},
  title = {Index for rating diagnostic tests},
  journal = {Cancer},
  year = {1950},
  volume = {3},
  number = {1},
  pages = {32--35},
}
