Confidence intervals for high-dimensional linear regression: Minimax rates and adaptivity TT Cai, Z Guo | 221 | 2017 |
Confidence intervals for causal effects with invalid instruments by using two‐stage hard thresholding with voting Z Guo, H Kang, T Tony Cai, DS Small Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2018 | 111 | 2018 |
Semi-supervised inference for explained variance in high dimensional linear regression and its applications T Tony Cai, Z Guo Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2020 | 72 | 2020 |
Optimal estimation of genetic relatedness in high-dimensional linear models Z Guo, W Wang, TT Cai, H Li Journal of the American Statistical Association 114 (525), 358-369, 2019 | 58* | 2019 |
Control function instrumental variable estimation of nonlinear causal effect models Z Guo, DS Small Journal of Machine Learning Research 17 (100), 1-35, 2016 | 57 | 2016 |
Accuracy assessment for high-dimensional linear regression TT Cai, Z Guo The Annals of Statistics 46 (4), 1807-1836, 2018 | 47 | 2018 |
Using an instrumental variable to test for unmeasured confounding Z Guo, J Cheng, SA Lorch, DS Small Statistics in medicine 33 (20), 3528-3546, 2014 | 41 | 2014 |
Mediation analysis for count and zero-inflated count data J Cheng, NF Cheng, Z Guo, S Gregorich, AI Ismail, SA Gansky Statistical methods in medical research 27 (9), 2756-2774, 2018 | 39 | 2018 |
Optimal statistical inference for individualized treatment effects in high-dimensional models T Cai, T Tony Cai, Z Guo Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2021 | 38* | 2021 |
Statistical inference for high-dimensional generalized linear models with binary outcomes TT Cai, Z Guo, R Ma Journal of the American Statistical Association 118 (542), 1319-1332, 2023 | 36 | 2023 |
Group inference in high dimensions with applications to hierarchical testing Z Guo, C Renaux, P Bühlmann, T Cai Electronic Journal of Statistics 15 (2), 6633-6676, 2021 | 33 | 2021 |
Testing endogeneity with high dimensional covariates Z Guo, H Kang, TT Cai, DS Small Journal of Econometrics 207 (1), 175-187, 2018 | 32* | 2018 |
SurvMaximin: robust federated approach to transporting survival risk prediction models X Wang, HG Zhang, X Xiong, C Hong, GM Weber, GA Brat, CL Bonzel, ... Journal of biomedical informatics 134, 104176, 2022 | 24 | 2022 |
Doubly debiased lasso: High-dimensional inference under hidden confounding Z Guo, D Ćevid, P Bühlmann Annals of statistics 50 (3), 1320, 2022 | 22* | 2022 |
Inference for the case probability in high-dimensional logistic regression Z Guo, P Rakshit, DS Herman, J Chen Journal of Machine Learning Research 22 (254), 1-54, 2021 | 17 | 2021 |
Boundary value problems for a family of domains in the Sierpinski gasket Z Guo, R Kogan, H Qiu, RS Strichartz Illinois Journal of Mathematics 58 (2), 497-519, 2014 | 17 | 2014 |
Statistical inference for maximin effects: Identifying stable associations across multiple studies Z Guo Journal of the American Statistical Association, 1-32, 2023 | 13* | 2023 |
Mediation analysis for count and zero-inflated count data without sequential ignorability and its application in dental studies Z Guo, DS Small, SA Gansky, J Cheng Journal of the Royal Statistical Society Series C: Applied Statistics 67 (2 …, 2018 | 12 | 2018 |
Causal inference with invalid instruments: post-selection problems and a solution using searching and sampling Z Guo Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023 | 11* | 2023 |
Robust inference for federated meta-learning Z Guo, X Li, L Han, T Cai arXiv preprint arXiv:2301.00718, 2023 | 11 | 2023 |