Variable selection with error control: another look at stability selection RD Shah, RJ Samworth Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2013 | 408 | 2013 |
The Hardness of Conditional Independence Testing and the Generalised Covariance Measure. RD Shah, J Peters Annals of Statistics, 2020 | 370 | 2020 |
Diffuse large B-cell lymphoma classification system that associates normal B-cell subset phenotypes with prognosis K Dybkær, M Bøgsted, S Falgreen, JS Bødker, MK Kjeldsen, A Schmitz, ... Journal of Clinical Oncology 33 (12), 1379-1388, 2015 | 129 | 2015 |
Random Intersection Trees RD Shah, N Meinshausen Journal of Machine Learning Research, 2014 | 74 | 2014 |
Goodness‐of‐fit tests for high dimensional linear models RD Shah, P Bühlmann Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2018 | 61 | 2018 |
Goodness-of-fit testing in high dimensional generalized linear models J Janková, RD Shah, P Bühlmann, RJ Samworth Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2020 | 49 | 2020 |
Functional unknomics: Systematic screening of conserved genes of unknown function SM João J. Rocha, Satish Arcot Jayaram, Tim J. Stevens, Nadine Muschalik ... PLOS Biology 21 (8), 2023 | 45 | 2023 |
BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic Q Zhao, N Ju, S Bacallado, RD Shah | 35 | 2021 |
The xyz algorithm for fast interaction search in high-dimensional data GA Thanei, N Meinshausen, RD Shah arXiv preprint arXiv:1610.05108, 2016 | 35 | 2016 |
Modelling interactions in high-dimensional data with backtracking RD Shah Journal of Machine Learning Research 17 (207), 1-31, 2016 | 34 | 2016 |
Conditional independence testing in Hilbert spaces with applications to functional data analysis AR Lundborg, RD Shah, J Peters Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022 | 26 | 2022 |
Modelling high-dimensional categorical data using nonconvex fusion penalties BG Stokell, RD Shah, RJ Tibshirani Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2021 | 24 | 2021 |
The projected covariance measure for assumption-lean variable significance testing AR Lundborg, I Kim, RD Shah, RJ Samworth The Annals of Statistics 52 (6), 2851-2878, 2024 | 22 | 2024 |
Right singular vector projection graphs: fast high dimensional covariance matrix estimation under latent confounding RD Shah, B Frot, GA Thanei, N Meinshausen Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2020 | 22* | 2020 |
Debiased inverse propensity score weighting for estimation of average treatment effects with high-dimensional confounders Y Wang, RD Shah The Annals of Statistics 52 (5), 1978-2003, 2024 | 20* | 2024 |
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values FR Guo, RD Shah arXiv preprint arXiv:2301.02739, 2023 | 16 | 2023 |
On -bit Min-wise Hashing for Large-scale Regression and Classification with Sparse Data RD Shah, N Meinshausen Journal of Machine Learning Research 18 (178), 1-42, 2018 | 12* | 2018 |
Structure learning for directed trees ME Jakobsen, RD Shah, P Bühlmann, J Peters Journal of Machine Learning Research 23 (159), 1-97, 2022 | 11 | 2022 |
Multicentre study of physical abuse and limb fractures in young children in the East Anglia Region, UK PD Mitchell, R Brown, T Wang, RD Shah, RJ Samworth, S Deakin, P Edge, ... Archives of disease in childhood 104 (10), 956-961, 2019 | 11 | 2019 |
Double-estimation-friendly inference for high-dimensional misspecified models RD Shah, P Bühlmann Statistical Science 38 (1), 68-91, 2023 | 9 | 2023 |