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Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent

Citations

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Cited by:

  1. Das Ujjwal & Ebrahimi Nader, 2018. "A New Method For Covariate Selection In Cox Model," Statistics in Transition New Series, Statistics Poland, vol. 19(2), pages 297-314, June.
  2. S. E. Hill, 2022. "In-game win probability models for Canadian football," Journal of Business Analytics, Taylor & Francis Journals, vol. 5(2), pages 164-178, July.
  3. Jie Xiong & Zhitong Bing & Yanlin Su & Defeng Deng & Xiaoning Peng, 2014. "An Integrated mRNA and microRNA Expression Signature for Glioblastoma Multiforme Prognosis," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-8, May.
  4. repec:jss:jstsof:47:i09 is not listed on IDEAS
  5. Yoonsuh Jung, 2018. "Multiple predicting K-fold cross-validation for model selection," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 30(1), pages 197-215, January.
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  7. Sill, Martin & Hielscher, Thomas & Becker, Natalia & Zucknick, Manuela, 2014. "c060: Extended Inference with Lasso and Elastic-Net Regularized Cox and Generalized Linear Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 62(i05).
  8. Haixiang Zhang & Jian Huang & Liuquan Sun, 2022. "Projection‐based and cross‐validated estimation in high‐dimensional Cox model," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(1), pages 353-372, March.
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  23. Marija Pizurica & Yuanning Zheng & Francisco Carrillo-Perez & Humaira Noor & Wei Yao & Christian Wohlfart & Antoaneta Vladimirova & Kathleen Marchal & Olivier Gevaert, 2024. "Digital profiling of gene expression from histology images with linearized attention," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
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  25. Soave, David & Lawless, Jerald F., 2023. "Regularized regression for two phase failure time studies," Computational Statistics & Data Analysis, Elsevier, vol. 182(C).
  26. Reid, Stephen & Tibshirani, Rob, 2014. "Regularization Paths for Conditional Logistic Regression: The clogitL1 Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i12).
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  28. Shengzhi Huang & Jiajia Qian & Yong Huang & Wei Lu & Yi Bu & Jinqing Yang & Qikai Cheng, 2022. "Disclosing the relationship between citation structure and future impact of a publication," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(7), pages 1025-1042, July.
  29. Haowen Zhou & Ruoqing Zhu & Anita Ung & Bruce Schatz, 2022. "Population analysis of mortality risk: Predictive models from passive monitors using motion sensors for 100,000 UK Biobank participants," PLOS Digital Health, Public Library of Science, vol. 1(10), pages 1-22, October.
  30. Li, Libo, 2018. "Predicting online invitation responses with a competing risk model using privacy-friendly social event data," European Journal of Operational Research, Elsevier, vol. 270(2), pages 698-708.
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  32. Boyi Guo & Hannah D. Holscher & Loretta S. Auvil & Michael E. Welge & Colleen B. Bushell & Janet A. Novotny & David J. Baer & Nicholas A. Burd & Naiman A. Khan & Ruoqing Zhu, 2023. "Estimating Heterogeneous Treatment Effect on Multivariate Responses Using Random Forests," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 15(3), pages 545-561, December.
  33. Aaron J. Molstad & Rohit K. Patra, 2023. "Dimension reduction for integrative survival analysis," Biometrics, The International Biometric Society, vol. 79(3), pages 1610-1623, September.
  34. Ethan Mark & David Goldsman & Brian Gurbaxani & Pinar Keskinocak & Joel Sokol, 2019. "Using machine learning and an ensemble of methods to predict kidney transplant survival," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-13, January.
  35. Robert A. Jarrow & Rinald Murataj & Martin T. Wells & Liao Zhu, 2023. "The Low-Volatility Anomaly And The Adaptive Multi-Factor Model," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 26(04n05), pages 1-33, August.
  36. Kotaro Ishizu & Shosuke Nishimoto & Yutaro Ueoka & Akihiro Funamizu, 2024. "Localized and global representation of prior value, sensory evidence, and choice in male mouse cerebral cortex," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
  37. Hua Xin & Yuhlong Lio & Hsien-Ching Chen & Tzong-Ru Tsai, 2024. "Zero-Inflated Binary Classification Model with Elastic Net Regularization," Mathematics, MDPI, vol. 12(19), pages 1-17, September.
  38. Helene C. W. Rytgaard & Mark J. Laan, 2024. "Targeted maximum likelihood estimation for causal inference in survival and competing risks analysis," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 30(1), pages 4-33, January.
  39. Paul Ghelasi & Florian Ziel, 2024. "From day-ahead to mid and long-term horizons with econometric electricity price forecasting models," Papers 2406.00326, arXiv.org, revised Aug 2024.
  40. Jonathan Fuhr & Philipp Berens & Dominik Papies, 2024. "Estimating Causal Effects with Double Machine Learning -- A Method Evaluation," Papers 2403.14385, arXiv.org, revised Apr 2024.
  41. Rutzer, Christian & Niggli, Matthias, 2020. "Environmental Policy and Heterogeneous Labor Market Effects: Evidence from Europe," Working papers 2020/09, Faculty of Business and Economics - University of Basel.
  42. Takumi Saegusa & Tianzhou Ma & Gang Li & Ying Qing Chen & Mei-Ling Ting Lee, 2020. "Variable Selection in Threshold Regression Model with Applications to HIV Drug Adherence Data," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 12(3), pages 376-398, December.
  43. Zemin Zheng & Jie Zhang & Yang Li, 2022. "L 0 -Regularized Learning for High-Dimensional Additive Hazards Regression," INFORMS Journal on Computing, INFORMS, vol. 34(5), pages 2762-2775, September.
  44. Zhixuan Fu & Shuangge Ma & Haiqun Lin & Chirag R. Parikh & Bingqing Zhou, 2017. "Penalized Variable Selection for Multi-center Competing Risks Data," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 9(2), pages 379-405, December.
  45. Matthew F. Dixon & Nicholas G. Polson & Kemen Goicoechea, 2022. "Deep Partial Least Squares for Empirical Asset Pricing," Papers 2206.10014, arXiv.org.
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