Personalized Medicine, Survival Analysis, Quantile Regression, High-dimensional Inference, Clinical Trial

       (* Co-first author)

1. Cui, Y. and Peng, L. (2024). Global Group Testing and Screening With Dynamic Effects. Statistica Sinica. 

2. Cui, Y., Huang, B. , Mao, L. , Uno, H., Wei LJ., and Tian L. (2024). Inferences for the Distribution of the Duration of Treatment Response in a Comparative Clinical Study. Clinical Trials. 

3. Wei, Q.*, Yao, Z.*, Cui, Y.*, Wei, B., Jin, Z., Xu, X. (2024). Evaluation of ChatGPT-Generated Medical Responses: A Systematic Review and Meta-analysis. Journal of Biomedical Informatics.

4. Cui, Y., Dong, G., Kuan, P.F. and Huang, B. (2023). Evidence synthesis analysis with prioritized benefit outcomes in oncology clinical trials. Journal of Biopharmaceutical Statistics.

5. Cui, Y. and Peng, L. (2022). Assessing dynamic covariate effects with survival data. Lifetime Data Analysis.

6. Cui, Y., Peng, L., Hu, Y. and Lai, H.J. (2021). Assessing the reproducibility of microbiome measurements based on concordance correlation coefficients. Journal of the Royal Statistical Society: Series C (Applied Statistics).

- Earlier version of this paper received the Distinguished Student Paper Award for the 2021 ENAR Spring Meeting.

7. Guo, Z.*, Cui, Y.*, Shi, X., Birchler, J.A., Albizua, I., Sherman, S.L., Qin, Z.S. and Ji, T. (2020). An empirical bayesian approach for testing gene expression fold change and its application in detecting global dosage effects. NAR Genomics and Bioinformatics.

8. Dong, G., Cui, Y., Gamalo‐Siebers, M., Liao, R., Liu, D., Zhang, K., Hoaglin, D.C., Lu, Y. (2024). On approximate equality of Z-values of the statistical tests for win statistics. Journal of Biopharmaceutical Statistics. 

9. Lu, J.*, Zhang, Y.*, Cui, Y., Peng, L., Chen Z. (2024). A Novel Phase II Hybrid Design to Minimize Trial Duration and Improve the Success Rate of Follow-up Phase III Trial. Journal of Applied Statistics. 

10. Meng, G., Pan, Y., Tang, W., Zhang, L., Cui, Y., Schumacher, F.S., Wang, M., Wang, R., He, S., Krischer, J., Li, Q. and Feng, H. (2024). imply: improving cell-type deconvolution accuracy using personalized reference profiles. Genome Medicine.

11. Wang, D., Zheng S., Cui, Y., He, N., Chen, T., Huang, B. (2023). Adjusted win ratio using inverse probability treatment weighting (IPTW) propensity score analysis. Journal of Biopharmaceutical Statistics.

12. Wei Q.*, Wang, Y.*, Yao, Z.*, Cui, Y., Wei, B., Li, T., Xu, X. (2023). Evaluation of ChatGPT's Performance in Providing Treatment Recommendations for Pediatric Diseases. Pediatric Discovery.

13. Wei, Q., Cui, Y., Wei, B., Cheng, Q. and Xu, X. (2023). Evaluating the performance of ChatGPT in differential diagnosis of neurodevelopmental disorders: A pediatricians-machine comparison. Psychiatry Research.

14. Dong, G., Hoaglin, D.C., Huang, B., Cui, Y., Wang, D., Cheng, Y. and Gamalo‐Siebers, M. (2023). The stratified win statistics (win ratio, win odds, and net benefit). Pharmaceutical Statistics.

15. Dong, G., Huang, B., Verbeeck, J., Cui, Y., Song, J., Gamalo‐Siebers, M., Wang, D., Hoaglin, D.C., Seifu, Y., Mütze, T. and Kolassa, J. (2023). Win statistics (win ratio, win odds, and net benefit) can complement one another to show the strength of the treatment effect on time‐to‐event outcomes. Pharmaceutical Statistics.

16. Patrawala, M., Cui, Y., Peng, L., Fuleihan, R.L., Garabedian, E.K., Patel, K. and Guglani, L. (2020). Pulmonary Disease Burden in Primary Immune Deficiency Disorders: Data from USIDNET Registry. Journal of Clinical Immunology.

• Cui, Y., Peng, L., Hu, Y., Sudakaran, S., Murali, S. and Lai, H. (2021). 483: Statistical analysis for assessing reproducibility of gut microbiome compositional measurements in young children with cystic fibrosis. Journal of Cystic Fibrosis.