A sparse-group lasso N Simon, J Friedman, T Hastie, R Tibshirani Journal of computational and graphical statistics 22 (2), 231-245, 2013 | 1039 | 2013 |
Regularization paths for Cox’s proportional hazards model via coordinate descent N Simon, J Friedman, T Hastie, R Tibshirani Journal of statistical software 39 (5), 1, 2011 | 980 | 2011 |
Strong rules for discarding predictors in lasso‐type problems R Tibshirani, J Bien, J Friedman, T Hastie, N Simon, J Taylor, ... Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2012 | 496 | 2012 |
Systems analysis of sex differences reveals an immunosuppressive role for testosterone in the response to influenza vaccination D Furman, BP Hejblum, N Simon, V Jojic, CL Dekker, R Thiébaut, ... Proceedings of the National Academy of Sciences 111 (2), 869-874, 2014 | 397 | 2014 |
New insights and faster computations for the graphical lasso DM Witten, JH Friedman, N Simon Journal of Computational and Graphical Statistics 20 (4), 892-900, 2011 | 323 | 2011 |
Comment on" Detecting Novel Associations In Large Data Sets" by Reshef Et Al, Science Dec 16, 2011 N Simon, R Tibshirani arXiv preprint arXiv:1401.7645, 2014 | 124 | 2014 |
Adaptive enrichment designs for clinical trials N Simon, R Simon Biostatistics 14 (4), 613-625, 2013 | 117 | 2013 |
Standardization and the group lasso penalty N Simon, R Tibshirani Statistica Sinica 22 (3), 983, 2012 | 107 | 2012 |
Glmnet for matlab J Qian, T Hastie, J Friedman, R Tibshirani, N Simon Accessed: Nov 13 (2017), 4.2-4.2, 2013 | 103 | 2013 |
Quantitative SD-OCT imaging biomarkers as indicators of age-related macular degeneration progression L de Sisternes, N Simon, R Tibshirani, T Leng, DL Rubin Investigative ophthalmology & visual science 55 (11), 7093-7103, 2014 | 92 | 2014 |
A blockwise descent algorithm for group-penalized multiresponse and multinomial regression N Simon, J Friedman, T Hastie arXiv preprint arXiv:1311.6529, 2013 | 70 | 2013 |
Transcriptome sequencing of a large human family identifies the impact of rare noncoding variants X Li, A Battle, KJ Karczewski, Z Zappala, DA Knowles, KS Smith, ... The American Journal of Human Genetics 95 (3), 245-256, 2014 | 61 | 2014 |
Convex modeling of interactions with strong heredity A Haris, D Witten, N Simon Journal of Computational and Graphical Statistics 25 (4), 981-1004, 2016 | 47 | 2016 |
Using randomization tests to preserve type I error with response adaptive and covariate adaptive randomization R Simon, NR Simon Statistics & probability letters 81 (7), 767-772, 2011 | 45 | 2011 |
Fused lasso additive model A Petersen, D Witten, N Simon Journal of Computational and Graphical Statistics 25 (4), 1005-1025, 2016 | 43 | 2016 |
Sparse-input neural networks for high-dimensional nonparametric regression and classification J Feng, N Simon arXiv preprint arXiv:1711.07592, 2017 | 32 | 2017 |
Scalpel: Extracting neurons from calcium imaging data A Petersen, N Simon, D Witten The annals of applied statistics 12 (4), 2430, 2018 | 22 | 2018 |
A permutation approach to testing interactions for binary response by comparing correlations between classes N Simon, R Tibshirani Journal of the American Statistical Association 110 (512), 1707-1716, 2015 | 19* | 2015 |
Using Bayesian modeling in frequentist adaptive enrichment designs N Simon, R Simon Biostatistics 19 (1), 27-41, 2018 | 18 | 2018 |
Nonparametric variable importance assessment using machine learning techniques BD Williamson, PB Gilbert, M Carone, N Simon Biometrics 77 (1), 9-22, 2021 | 17 | 2021 |