| Valid post-selection inference R Berk, L Brown, A Buja, K Zhang, L Zhao The Annals of Statistics, 802-837, 2013 | 753 | 2013 |
| Effectiveness and efficiency of a CAD/CAM orthodontic bracket system MW Brown, L Koroluk, CC Ko, K Zhang, M Chen, T Nguyen American Journal of Orthodontics and Dentofacial Orthopedics 148 (6), 1067-1074, 2015 | 178 | 2015 |
| Models as approximations I A Buja, L Brown, R Berk, E George, E Pitkin, M Traskin, K Zhang, L Zhao Statistical Science 34 (4), 523-544, 2019 | 125 | 2019 |
| BET on Independence K Zhang Journal of the American Statistical Association 114 (528), 1620-1637, 2019 | 58 | 2019 |
| Scoring and shooting abilities of NBA players J Piette, S Anand, K Zhang Journal of Quantitative analysis in sports 6 (1), 2010 | 55 | 2010 |
| Using split samples and evidence factors in an observational study of neonatal outcomes K Zhang, DS Small, S Lorch, S Srinivas, PR Rosenbaum Journal of the American Statistical Association 106 (494), 511-524, 2011 | 46 | 2011 |
| JIVE integration of imaging and behavioral data Q Yu, BB Risk, K Zhang, JS Marron NeuroImage 152, 38-49, 2017 | 42 | 2017 |
| Misspecified mean function regression: Making good use of regression models that are wrong R Berk, L Brown, A Buja, E George, E Pitkin, K Zhang, L Zhao Sociological Methods & Research 43 (3), 422-451, 2014 | 40 | 2014 |
| Models as approximations: A conspiracy of random regressors and model deviations against classical inference in regression A Buja, R Berk, L Brown, E George, E Pitkin, M Traskin, L Zhao, K Zhang Statistical Science 1460, 2015 | 38* | 2015 |
| Models as approximations, part I: A conspiracy of nonlinearity and random regressors in linear regression A Buja, R Berk, L Brown, E George, E Pitkin, M Traskin, K Zhan, L Zhao arXiv preprint arXiv:1404.1578, 2014 | 30 | 2014 |
| Confidence intervals and regions for the lasso by using stochastic variational inequality techniques in optimization S Lu, Y Liu, L Yin, K Zhang Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017 | 29 | 2017 |
| Limiting distribution of decoherent quantum random walks K Zhang Physical Review A—Atomic, Molecular, and Optical Physics 77 (6), 062302, 2008 | 29 | 2008 |
| Spherical cap packing asymptotics and rank-extreme detection K Zhang IEEE Transactions on Information Theory 63 (7), 4572-4584, 2017 | 19* | 2017 |
| Comment: The essential role of pair matching in cluster-randomized experiments, with application to the Mexican Universal Health Insurance Evaluation K Zhang, DS Small Statistical Science 24 (1), 59-64, 2009 | 18 | 2009 |
| A powerful and robust test statistic for randomization inference in group-randomized trials with matched pairs of groups K Zhang, M Traskin, DS Small Biometrics 68 (1), 75-84, 2012 | 17 | 2012 |
| Models as approximations—Part II: A general theory of model-robust regression A Buja, R Berk, L Brown, E George, AK Kuchibhotla, L Zhao Preprint. Available at ArXiv 1612 (1612.03257), 2016 | 16 | 2016 |
| A TESTING BASED APPROACH TO THE DISCOVERY OF DIFFERENTIALLY CORRELATED VARIABLE SETS. K Bodwin, K Zhang, A Nobel The annals of applied statistics 12 (2), 1180, 2018 | 15 | 2018 |
| An exploratory statistical cusp catastrophe model DG Chen, X Chen, K Zhang 2016 IEEE international conference on data science and advanced analytics …, 2016 | 14 | 2016 |
| Calibrated percentile double bootstrap for robust linear regression inference D McCarthy, K Zhang, LD Brown, R Berk, A Buja, EI George, L Zhao Statistica Sinica 28 (4), 2565-2589, 2018 | 11 | 2018 |
| Beauty powered beast K Zhang, W Zhang, Z Zhao, W Zhou arXiv preprint arXiv:2103.00674, 2021 | 10 | 2021 |
