| Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ... Nature communications 10 (1), 2674, 2019 | 297 | 2019 |
| Covariate selection in high-dimensional generalized linear models with measurement error Ø Sørensen, KH Hellton, A Frigessi, M Thoresen Journal of Computational and Graphical Statistics 27 (4), 739-749, 2018 | 53 | 2018 |
| Integrative clustering of high-dimensional data with joint and individual clusters KH Hellton, M Thoresen Biostatistics 17 (3), 537-548, 2016 | 38 | 2016 |
| The impact of measurement error on principal component analysis KH Hellton, M Thoresen Scandinavian Journal of Statistics 41 (4), 1051-1063, 2014 | 34 | 2014 |
| Bayesian regional flood frequency analysis for large catchments TL Thorarinsdottir, KH Hellton, GH Steinbakk, L Schlichting, K Engeland Water Resources Research 54 (9), 6929-6947, 2018 | 32 | 2018 |
| Fridge: Focused fine‐tuning of ridge regression for personalized predictions KH Hellton, NL Hjort Statistics in Medicine 37 (8), 1290-1303, 2018 | 29 | 2018 |
| Multivariate postprocessing methods for high-dimensional seasonal weather forecasts C Heinrich, KH Hellton, A Lenkoski, TL Thorarinsdottir Journal of the American Statistical Association 116 (535), 1048-1059, 2021 | 16 | 2021 |
| When and Why are Principal Component Scores a Good Tool for Visualizing High‐dimensional Data? KH Hellton, M Thoresen Scandinavian Journal of Statistics 44 (3), 581–597, 2017 | 12 | 2017 |
| Real-time prediction of propulsion motor overheating using machine learning KH Hellton, M Tveten, M Stakkeland, S Engebretsen, O Haug, M Aldrin Journal of Marine Engineering & Technology 21 (6), 334-342, 2022 | 11 | 2022 |
| Tuning parameter calibration for prediction in personalized medicine ST Huang, Y Düren, KH Hellton, J Lederer arXiv preprint arXiv:1909.10635, 2019 | 11 | 2019 |
| An agent-based model with social interactions for scalable probabilistic prediction of performance of a new product R Parviero, KH Hellton, O Haug, K Engø-Monsen, H Rognebakke, ... International Journal of Information Management Data Insights 2 (2), 100127, 2022 | 8 | 2022 |
| The truth behind the Zeros: a new approach to principal component analysis of the neuropsychiatric inventory KH Hellton, J Cummings, AO Vik-Mo, JE Nordrehaug, D Aarsland, ... Multivariate behavioral research 56 (1), 70-85, 2021 | 8 | 2021 |
| Asymptotic distribution of principal component scores for pervasive, high-dimensional eigenvectors K Hellton, M Thoresen arXiv preprint arXiv:1401.2781, 2014 | 5 | 2014 |
| Tuning parameter calibration for personalized prediction in medicine ST Huang, Y Düren, KH Hellton, J Lederer Electronic Journal of Statistics 15 (2), 5310-5332, 2021 | 4 | 2021 |
| Multiple model-free knockoffs L Holden, K Hellton arXiv preprint arXiv:1812.04928, 2018 | 4 | 2018 |
| Influence of single observations on the choice of the penalty parameter in ridge regression KH Hellton, C Lingjærde, R De Bin arXiv preprint arXiv:1911.03662, 2019 | 3 | 2019 |
| Integrative clustering of high-dimensional data with joint and individual clusters, with an application to the Metabric study K Hellton, M Thoresen arXiv preprint arXiv:1410.8679, 2014 | 3 | 2014 |
| Penalized angular regression for personalized predictions KH Hellton Scandinavian Journal of Statistics 50 (1), 184-212, 2023 | 1 | 2023 |
| Verdens første p-verdi KH Hellton, J Røislien Tidsskrift for Den norske legeforening, 2017 | 1 | 2017 |
| Asymptotic distribution of principal component scores connected to pervasive, high-dimensional eigenvectors K Hellton, M Thoresen | 1 | 2013 |
Magne ThoresenProfessor of Biostatistics, University of OsloVerified email at medisin.uio.no
