Teacher information
Achievements in scientific research
Academic activities and community service
Journal Papers
| 1. | Guorong Dai, Raymond J. Carroll, and Jinbo Chen. 2025. Valid and efficient inference for nonparametric variable importance in two-phase studies. Biometrics 81(3) 1-11.  |
| 2. | Guorong Dai, Lingxuan Shao, and Jinbo Chen. 2025. Moving beyond population variable importance: concept, theory and applications of individual variable importance. Journal of the Royal Statistical Society Series B-Statistical Methodology 87(3) 816–832. |
| 3. | Guorong Dai, Ursula U. Müller, and Raymond J. Carroll. 2024. Penalized regression with multiple loss functions and variable selection by voting. Statistica Sinica forthcoming 1-41. |
| 4. | Guorong Dai and Jinbo Chen. 2024. Robust and efficient case-control studies with contaminated case pools: A unified M-estimation framework. Statistica Sinica forthcoming 1-41. |
| 5. | Guorong Dai, Yanyuan Ma, Jill Hasler, Jinbo Chen, and Raymond J. Carroll. 2023. A robust approach for electronic health record-based case-control studies with contaminated case pools. Biometrics 79(3) 2023–2035. |
| 6. | Guorong Dai, Ursula Müller, and Raymond James Carroll. 2023. Data integration in high dimension with multiple quantiles. Statistica Sinica 33(1) 169-191. |
| 7. | Guorong Dai and Ursula U. Müller. 2019. Efficient estimators for expectations in nonlinear parametric regression models with responses missing at random. Electronic Journal of Statistics 13(2) 3985-4014. |
Research Projects
2025.01—2027.12, Principal Investigator, Semi-Supervised Inference for Treatment Effects in High Dimensions, National Natural Science Foundation of China
Journal Papers
| 1. | Guorong Dai, Raymond J. Carroll, and Jinbo Chen. 2025. Valid and efficient inference for nonparametric variable importance in two-phase studies. Biometrics 81(3) 1-11. |
| 2. | Guorong Dai, Lingxuan Shao, and Jinbo Chen. 2025. Moving beyond population variable importance: concept, theory and applications of individual variable importance. Journal of the Royal Statistical Society Series B-Statistical Methodology 87(3) 816–832. |
| 3. | Guorong Dai, Ursula U. Müller, and Raymond J. Carroll. 2024. Penalized regression with multiple loss functions and variable selection by voting. Statistica Sinica forthcoming 1-41. |
| 4. | Guorong Dai and Jinbo Chen. 2024. Robust and efficient case-control studies with contaminated case pools: A unified M-estimation framework. Statistica Sinica forthcoming 1-41. |
| 5. | Guorong Dai, Yanyuan Ma, Jill Hasler, Jinbo Chen, and Raymond J. Carroll. 2023. A robust approach for electronic health record-based case-control studies with contaminated case pools. Biometrics 79(3) 2023–2035. |
| 6. | Guorong Dai, Ursula Müller, and Raymond James Carroll. 2023. Data integration in high dimension with multiple quantiles. Statistica Sinica 33(1) 169-191. |
| 7. | Guorong Dai and Ursula U. Müller. 2019. Efficient estimators for expectations in nonlinear parametric regression models with responses missing at random. Electronic Journal of Statistics 13(2) 3985-4014. |
Research Projects
2025.01—2027.12, Principal Investigator, Semi-Supervised Inference for Treatment Effects in High Dimensions, National Natural Science Foundation of China
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