Welcome to the Homepage of Gengsheng (Jeff) Qin

ADDRESS

Department of Mathematics and Statistics
Georgia State University
25 Park Place, Atlanta
Georgia 30303-3083, USA

Phone:(404)413-6434
Fax: (404)413-6403
Email: gqin@gsu.edu

EDUCATION

• Post-doctoral Fellow (2001). Indiana University School of Medicine
• PIMS Post-doctoral Fellow (1999-2000). Pacific Institute of Mathematical Science, University of Victoria, Canada
• PhD in Statistics (1999). The Hong Kong University of Science and Technology
• Master of Science in Statistics. Sichuan University
• Diploma in French. Sichuan International Studies University
• Bachelor of Science in Mathematics. Lanzhou University

ACADEMIC APPOINTMENTS

• 2013-Present, Professor, Georgia State University, Atlanta
• 2007-2013, Associate Professor, Georgia State University, Atlanta
• 2001-2007, Assistant Professor, Georgia State University, Atlanta
• 1999-2000, Sessional Lecturer, University of Victoria, CANADA
• 1994-1996, Associate professor, Sichuan University
• 1992-1994, Assistant professor, Sichuan University
• 1985-1989, Lecturer, Sichuan University

RESEARCH INTERESTS

Biostatistics and mathematical statistics. Specific topics of current interest:

• Statistical methods in diagnostic medicine and biological research
• Survival analysis
• Bootstrap and empirical likelihood methods
• Non-parametric and semi-parametric regression
• Discrete data analysis
• Empirical process and its applications in statistics
• Edgeworth expansion and saddlepoint approximation
• Time series

SELECTED PUBLICATIONS

Su, Q., Qin, Z., Peng, L., Qin, G.S. (2020). Efficiently backtesting conditional value-at-risk and conditional expected shortfall. Journal of the American Statistical Association. DOI: 10.1080/01621459.2020.1763804

Hai, Y., Qin, G.S. (2020). Direct Estimation of the Area Under the Receiver Operating Characteristic Curve with Verification Biased Data. Statistics in Medicine. 39: 4789-4820.

Wei, G.H., Qin, G.S. (2020). Empirical likelihood-based inferences for median medical cost regression models with censored data. Journal of Biopharmaceutical Statistics. DOI:10.1080/10543406.2020.1821701

Hu, X. J., Li, C. X., Chen, J. Y., Qin, G.S. (2020). Confidence intervals for the Youden index in the presence of covariates. Journal of Biopharmaceutical Statistics. doi.org/10.1080/10543406.2020.1832107

Hai, Y., Min, X., Qin, G.S. (2020). Bayesian and influence function based empirical likelihoods for inference of sensitivity in diagnostic tests. Statistical Methods in Medical Research. 29:3457-3491.

Shi, Y., Liu, B., Qin, G.S. (2020). Influence function-based empirical likelihood and generalized confidence intervals for Lorenz curve. Statistical Methods and Applications. 29:427-446.

Jeyarajah, J., Wei, G.H., Qin, G.S. (2020). Influence function based empirical likelihood for inference of quantile medical costs with censored data. Statistical Methods in Medical Research. 29: 1913-1934.

Hu, X. J., Jung, A. and Qin, G.S. (2020). Interval estimation for the correlation coefficient. American Statistician. 74: 29-36.

Luo, S. and Qin, G.S. (2019). Jackknife empirical likelihood-based inferences for Lorenz curve with kernel smoothing. Communications in Statistics – Theory and Methods. 48: 559-582.

Li, C. X., Chen, J. Y., Qin, G.S. (2019). Partial Youden index and its inferences. Journal of Biopharmaceutical Statistics. 29: 385-399.

Tie, Y. F., Skarbinski, J., Qin, G.S., and Frazier, E. L. (2018). Prevalence and patterns of antiretroviral therapy prescription in the United States. The Open AIDS Journal. .12: 181-194.

Yang, B.Y., Huang X. and Qin, G.S. (2017). Variable Selection in ROC Curve Analysis with Focused Information Criteria. Statistics and Its Interface. 10: 229-238.

Jeyarajah, J. and Qin, G.S. (2017). Empirical Likelihood-based Confidence Intervals for Mean Medical Cost with Censored Data. Statistics in Medicine. 36: 4061–4070.

Luo, S. and Qin, G.S. (2017). New Non-parametric Inferences for Low Income Proportions. Ann Inst Stat Math. 69: 599-626.

Wang, B.H and Qin, G.S. (2016). Jackknife Empirical Likelihood Confidence Regions for the Evaluation of Continuous- Scale Diagnostic Tests with Verification Bias. Statistical Methods in Medical Research. 25: 2120-2137.

Luo, S. and Qin, G.S. (2016). Kernel smoothing and jackknife empirical likelihood-based inferences for the generalized Lorenz curve. Statistics and Its Interface. 9: 99-112.

Zhou, H.C. and Qin, G.S. (2015). Nonparametric Covariate Adjustment for the Youden Index. Applied Statistics in Biomedicine and Clinical Trials Design, Springer. Chapter 7: 109-132.

Qin, G.S., Yang, B.Y., and Belinga-Hall, N. E. (2013). Empirical likelihood-based inferences for the Lorenz curve. Ann Inst Stat Math. 65:1–21.

Wang, B. and Qin, G.S. (2013). Empirical likelihood confidence regions for the evaluation of continuous-scale diagnostic test in the presence of verification bias. The Canadian Journal of Statistics. 41:398–420.

Yuan, A., He, W.Q., Wang, B.H., and Qin, G.S. (2012). U-Statistic with side information. J Multi Anal. 111:20-38.

Yang, B.Y., Qin, G.S. (2012). Empirical Likelihood-based Inferences for the Area under the ROC Curve with Covariates. SCIENCE CHINA Mathematics (Science in China Series A). 55:1553–1564.

Huang, X., Qin, G.S., Yuan, Y. and Zhou, X.H. (2012). Confidence intervals for the difference between two partial AUCs. Australian and New Zealand Journal of Statistics. 54:63–79.

Zhou, H.C. and Qin, G.S. (2012). New nonparametric confidence intervals for the Youden index. Journal of Biopharmaceutical Statistics. 22:1244-1257.

Wang, B.H and Qin, G.S. (2012). Imputation-based Empirical Likelihood Inference for the Area under the ROC Curve with Missing Data. Statistics and Its Interface. 5:319–329.

Qin, G.S., Davis, A.E., and Jing, B.-Y. (2011). Empirical likelihood-based confidence intervals for the sensitivity of a continuous-scale diagnostic test at a fixed level of specificity. Statistical Methods in Medical Research. 20:217- 231.

Huang, X., Qin, G.S. and Fang, Y. (2011). Optimal combinations of diagnostic tests based on AUC. Biometrics. 67:568–576.

Yang, B.Y., Qin, G.S. and Qin, J. (2011). Empirical likelihood-based inferences for a low income proportion. The Canadian Journal of Statistics. 39:1-16.

Qin, G.S., Jin, X. P. and Zhou, X. H. (2011). Nonparametric interval estimation for the partial area under the ROC curve. The Canadian Journal of Statistics. 39:17-33.

Qin, G.S. and Hotilovac, L. (2008). Comparison of non-parametric confidence intervals for the area under the ROC curve of a continuous-scale diagnostic test. Statistical Methods in Medical Research. 17:207-221.

Zhou, X.H. and Qin, G.S. (2007). A supplement to “A New Confidence Interval for the Difference Between Two Binomial Proportions of Paired Data". J Statist Plan Infer. 137:357-358.

Qin, G.S. and Zhao, Y.C. (2007). Empirical likelihood inference for the mean residual life under random censorship. Statistics & Probability Letter. 77:549-557.

Zhao, Y.C. and Qin, G.S. (2007). Simultaneous confidence band for a linear functional of cumulative hazard function via empirical likelihood. Communication in Statistics, Theory and Methods. 36:313-327.

Qin, G.S., and Zhou, X.H. (2006). Empirical likelihood inference for the area under the ROC curve. Biometrics. 62:613-622.

Zhao, Y.C., and Qin, G.S. (2006). Inference for the mean residual life function via empirical likelihood. Communication in Statistics, Theory and Methods. 35:1025-1036.

Zhou, X.H., Qin, G.S., Lin, H.Z. and Li, G. (2006). Inferences in censored cost regression models with empirical likelihood. Statistica Sinica. 16:1213-1232.

Qin, G.S., Hsu, Y.-S., and Zhou, X.H. (2006). New confidence intervals for the difference between two sensitivities at a fixed level of specificity. Statistics in Medicine. 25:3487-3502.

Zhou, X.H., Qin, G.S., and Maciejewski, M.L. (2006). Estimating the VA inpatient care cost using a semi-parametric heteroscedastic two-part model. Health Services and Outcomes Research Methodology. 6:69-80.

Zhou, X.H. and Qin, G.S. (2005). A new confidence interval for the difference between two binomial proportions of paired data. J Statist Plan Infer. 128:527-542.

Zhou, X.H. and Qin, G.S. (2005). Improved confidence intervals for the sensitivity at a fixed level of specificity of a continuous-scale diagnostic test. Statistics in Medicine. 24:465-477.

Qin, G.S., Tsao, M. (2005). Empirical likelihood based inference for the derivative of the nonparametric regression function. Bernoulli. 11:715-735.

Zhou, X.H., Tsao, M., and Qin, G.S. (2004). New intervals for the difference between two independent binomial proportions. J Statist Plan Infer. 123:97-115

Hermers, R., Jing, B.-Y., Qin, G.S. and Zhou, W. (2004). Saddlepoint approximations to the trimmed mean. Bernoulli. 10:465-501

Qin, G.S. and Tsao, M. (2003). Empirical likelihood inference for median regression models of censored survival data. J Multi Anal. 85:416-430

Qin, G.S. and Jing, B.-Y. (2003). Edgeworth expansion in censored linear regression model. Ann Inst Stat Math. 55:597-617

Qin, G.S. and Jing, B.-Y. (2001). Empirical likelihood for Cox regression model under random censorship. Communication in Statistics, Simulation & Computation. 30:79-90

Qin, G.S. and Jing, B.-Y. (2001). Censored partial linear models and empirical likelihood. J Multi Anal. 78:37-61

Qin, G.S. and Jing, B.-Y. (2001). Empirical likelihood for censored linear regression. Scand J Statistics. 28:661-673

PROFESSIONAL SERVICE

Referred papers for the following journals:

• Annals of Statistics
• Annals of the Institute of Statistical Mathematics
• Australia and New Zealand Journal of Statistics
• Bernoulli
• Biometrical Journal
• Biometrika
• Biometrics
• Canadian Journal of Statistics
• Communications in Statistics
• Computational and Mathematical Methods in Medicine
• Computational Statistics and Data Analysis
• Discrete Dynamics in Nature and Society
• Electronic Journal of Statistics
• Frontiers in Genetics, Section Statistical Genetics and Methodology
• Frontiers in Oncology, Section Women's Cancer
• Geo-spatial Information Science
• IEEE Transactions on Information Theory
• International Journal of Bioinformatics Research and Applications
• International Journal of Biostatistics
• International Journal of Statistics and Systems
• Journal of Applied Statistics
• Journal of Biopharmaceutical Statistics
• Journal of Business & Economic Statistics
• Journal of Multivariate Analysis
• Journal of Nonparametric Statistics
• Journal of Statistics and Applications
• Journal of Statistical Computations and Simulations
• Journal of Statistical Planning and Inference
• Journal of the American Statistical Association
• Journal of the Royal Statistical Society, Series B
• Lifetime Data Analysis
• Medical Decision Making
• Metrika
• Metron
• Open Journal of Statistics
• Pakistan Journal of Statistics
• Scandinavian Journal of Statistics
• Science in China Mathematics
• Statistical Applications in Genetics and Molecular Biology
• Statistical Analysis and Data Mining
• Statistical Methods in Medical Research
• Statistical Methodology
• Statistics
• Statistics and Its Interface
• Statistics in Medicine
• Statistical Papers
• Statistics & Probability Letters
• Statistica Sinica
• The American Statistician
• Test
• The Open Statistics & Probability Journal

TEACHING

1. Courses Taught At Georgia State University:

• Math 1070 Elementary Statistics
• Math 4544/6544 Biostatistics
• Biol 4744/6744 Biostatistics
• Math 4751/6751 Mathematical Statistics I
• Math 4752/6752 Mathematical Statistics II
• Stat 7010 Biostatistics for Public Health
• Stat 8440 Survival Analysis
• Stat 8540 Advanced Methods in Biostatistics
• Stat 8581 Statistical Theory I
• Stat 8630 Experimental Design
• Stat 8680 Applied Nonparametric Methods
• Stat 8760 Sample Surveys

2. Courses Taught At Sichuan University and Hong Kong University of Science and Technology:

• Complex Analysis
• Discrete Data Analysis
• Introduction to Probability and Statistics
• Linear Algebra
• Mathematical Analysis
• Non-parametric Methods
• Probability and Statistics
• Sampling
• Stochastic Process
• Survival Analysis
• The Convergence of Stochastic Process

Research Interests
Latest CV
Return to the Home

Last updated: Jan 2021