代表性论文：
1. Sheng Fu, Lu Deng, Han Zhang, William Wheeler, Jing Qin, and Kai, Yu* (2023) Integrative Analysis of Individual-Level Data and High-Dimensional Summary Statistics. Bioinformatics 39(4):btad156.
2. Lu Deng, Sheng Fu, Jing Qin, and Kai Yu* (2022) On Combining Individual-Level Data With Summary Data in Statistical Inference. Statistica Sinica, online.
3. Han Zhang, Lu Deng, William Wheeler, and Kai Yu* (2022) Integrative Analysis of Mutiple Case-Control Studies. Biometrics 78, 1080-1091.
4. Lu Deng, William Wheeler, Kai Yu* (2021) Mendelian Randomization Test of Causal Effect Using High-Dimensional Summary Data. Statistica Sinica, online.
5. Lu Deng, Han Zhang and Kai Yu∗ (2020) Power Calculation for the General Two-Sample Mendelian Randomization Analysis. Genetic Epidemiology 44, 290-299.
6. Lu Deng, Han Zhang, Lei Song and Kai Yu∗ (2020) Approximation of Bias and Mean Squared Errors in Two-Sample Mendelian Randomization Analyses. Biometrics 76, 369-379.
7. Han Zhang, Jing Qin, Sonja I. Berndt, Demetrius Albanes, Lu Deng, Mitchell H. Gail and Kai Yu∗ (2020) On Mendelian Randomization in Case-Control Studies. Biometrics, 76, 380-391.
8. Han Zhang, Lu Deng, Mark Schiffman, Jing Qin and Kai Yu∗(2020) Generalized Integration Model for Improved Statistical Inference by Leveraging External Summary Data. Biometrika 107, 689-703.
9. Lu Deng, Changliang Zou, Xin Chen and Zhaojun Wang∗(2020) Testing Constancy of Conditional Variance in High Dimension. Statistica Sinica 30, 1633-1655.
10. Lu Deng, Xuemin Zi and Zhonghua Li∗ (2018) False Discovery Rates for Large Scale Model Checking under Certain Dependence. Communications in Statistics-Theory and Methods 47, 64-79.
