Prof. Gengsheng Qin

Georgia State University, USA

Professor

Email: [email protected]

Qualifications

1999 Ph.D., Statistics, The Hong Kong University of Science and Technology, China

1993 M.Sc., Statistics, Sichuan University, China

1983 B.Sc., Mathematics, Lanzhou University, China

Publications (Selected)

1. Jia, S., Wang, S., & Qin, G. (2026). Methodological Approaches for the Estimation of Confidence Intervals on Partial Youden Index Under Verification Bias. Pharmaceutical Statistics, 25(2), Article e70079.
2. Shi, S., Wang, S., & Qin, G. (2025). Interval estimation for three-class Youden index with verification bias. Journal of Biopharmaceutical Statistics. Advance online publication.
3. Yang, B., Hu, X., & Qin, G. (2025). Influence function-based empirical likelihood for area under the receiver operating characteristic curve in presence of covariates. Statistical Methods in Medical Research, 34(8), 1574–1589.
4. Wang, S., Shi, S., & Qin, G. (2025). Interval estimation for the Youden index of a continuous diagnostic test with verification biased data. Statistical Methods in Medical Research, 34(4), 796–811.
5. Shi, S., & Qin, G. (2024). Direct estimation of volume under the ROC surface with verification bias. Journal of Biopharmaceutical Statistics, 34(4), 553–581.
6. Hai, Y., Shi, S., Qin, G., et al. (2023). Bayesian and influence function-based empirical likelihoods for inference of sensitivity to the early diseased stage in diagnostic tests. Biometrical Journal, 65(3). Advance online publication.
7. Huang, Z., & Qin, G. (2023). Influence function-based confidence intervals for the Kendall rank correlation coefficient. Computational Statistics, 38(2), 1041–1055.
8. Ghimire, H., Viennois, E., Hu, X., et al. (2022). Infrared spectrometric biomarkers for ulcerative colitis screening using human serum samples. Journal of Biophotonics, 15(6), Article e202100307.
9. Hu, X., Li, C., Chen, J., & Qin, G. (2021). Confidence intervals for the Youden index and its optimal cut-off point in the presence of covariates. Journal of Biopharmaceutical Statistics, 31(3), 251–272.
10. Hu, X., Jung, A., & Qin, G. (2020). A Response to the Letter to the Editor on "Interval Estimation for the Correlation Coefficient," The American Statistician, 74:1, 29-36: Comment by Krishnamoorthy and Xia. American Statistician, 74(4), 419–419.
11. Wei, G., & Qin, G. (2021). Empirical likelihood-based inferences for median medical cost regression models with censored data. Journal of Biopharmaceutical Statistics, 31(2), 216–232.
12. Hai, Y., & Qin, G. (2020). Direct estimation of the area under the receiver operating characteristic curve with verification biased data. Statistics in Medicine, 39(30), 4789–4820.
13. Shi, Y., Liu, B., & Qin, G. (2020). Influence function-based empirical likelihood and generalized confidence intervals for the Lorenz curve. Statistical Methods and Applications, 29(3), 427–446.
14. Ghimire, H., Hu, X., Qin, G., et al. (2020). Optimizing infrared spectral discrimination to enhance disease diagnostics: monitoring the signatures of inflammatory bowel diseases with anti-TNFα therapy. Biomedical Optics Express, 11(8), 4679–4694.
15. Ghimire, H., Garlapati, C., Janssen, E. A. M., et al. (2020). Protein Conformational Changes in Breast Cancer Sera Using Infrared Spectroscopic Analysis. Cancers, 12(7), Article 1708.
16. Hai, Y., Min, X., & Qin, G. (2020). Bayesian and influence function-based empirical likelihoods for inference of sensitivity in diagnostic tests. Statistical Methods in Medical Research, 29(12), 3457–3491.
17. Su, Q., Qin, Z., Peng, L., & Qin, G. (2021). Efficiently Backtesting Conditional Value-at-Risk and Conditional Expected Shortfall. Journal of the American Statistical Association, 116(536), 2041–2052.
18. Hu, X., Jung, A., & Qin, G. (2020). Interval Estimation for the Correlation Coefficient. American Statistician, 74(1), 29–36.
19. Eyarajah, E., Wei, G., & Qin, G. (2020). Influence function-based empirical likelihood for inference of quantile medical costs with censored data. Statistical Methods in Medical Research, 29(7), 1913–1934.
20. Li, C., Chen, J., & Qin, G. (2019). Partial Youden index and its inferences. Journal of Biopharmaceutical Statistics, 29(2), 385–399.

Profile Details
https://mathstat.gsu.edu/profile/gengsheng-qin/jeff-qin-image-e1415737003809/
https://scholar.google.com/citations?user=cWSHAI8AAAAJ&hl=en
https://www.researchgate.net/profile/Gengsheng-Qin

WOS ResearcherID: DZG-9681-2022