Qing Pan

- Title:
- Professor
- Office:
- 752
- Address:
- Rome Hall
801 22nd St NW
Washington, DC 20052 - Phone:
- 202-994-6359
- Email:
- [email protected]
- Website:
- Google Scholar
Areas of Expertise
Survival analysis, clinical trials, electronic health records, "omics" data, network analysis, equal employment opportunity.
Pan worked/works on the Prospective Payment System project for end stage renal disease patients, Scientific Registry of Transplantation Recipients, Diabetes Prevention Program Outcome Study and Antibacterial Resistance Leadership Group. She receives the mentored research career award in clinical translational research from NIH during 2012-2014, studying genetic disparity associated with composite microvascular complications in Type 1 Diabetes patients.
Locating in DC, her other reseach area is statistical issues in legal applications.
Education
Ph.D. 2007, University of Michigan
Publications
- Pan, Q., Gastwirth, J.L. and Miao W.W. One-sided T2 test for assessing the need for an Affirmative Action plan: A reanalysis of the Shea v. Kerry (Statistics & Public Policy) PDF
- Jiang, Y.*, Pan, Q.*, Liu, Y. and Evans, S. A Statistical Review: Why Average Weighted Accuracy, not Accuracy or AUC? (co-first author, Journal of Biostatistics & Epidemiology)
- Wang H, Hueman MT, Pan Q, Henson DE, Schwartz AM, Sheng L, Chen DC. Creating Cancer Staging Systems by the Mann-Whitney Parameter. The 3rd IEEE/ACM conference on connected health: Applications, Systems and Engineering Technologies. 2018 Smart Health Journal: 18474377. PDF
- Cheung, L.C., Pan, Q., Hyun, N. and Hormudz, K. Prioritized concordance index for hierarchical survival outcomes. Statistics in Medicine (2019) 38(15): 2868-2882. PDF
- Zhao, Y., Pan, Q. and Du, C. Logistic regression augmented community detection. Biometrics. 2019;75(1):222-234. PDF
- Yang, A., Miller, D. and Pan, Q.* Constrained maximum entropy models to select genotype interactions associated with censored failure times.Journal of Bioinformatics & Computational Biology (2018) 16(6). PDF
- Cheung, L., Pan, Q., Hyun, N., Schiffman, M., Fetterman, B., Castle, P.E. and Hormudz, K. Mixture models for undiagnosed prevalent disease and interval-censored incident disease: Application to a cohort assembled from electronic health records. Statistics in Medicine (2017) 36(22): 3583-3595. PDF
- Hyun, N., Cheung, L., Pan, Q., Schiffman, M. and Hormuzd, K. Flexible risk prediction models for left or interval-censored data from electronic health records, Annals of Applied Statistics (2017) 11(2):1063—1084. PDF
- Gastwirth JL, Miao W, Pan Q. Statistical issues arising in Kerner v. Denver, a class action disparate impact case. Law, Probability & Risk, (2017) 16 (1): 35-53. PDF
- Pan Y, Yan C, Hu Y, Wan Q, Pan Q, Torcivia J, Mazumder R. Distribution bias analysis of germline and somatic single-nucleotide variations that impact protein functional site and neighboring amino acids. Scientific Reports – Nature, 2017, 7:42169. PDF
- Pan, Q. and Zhao, Y. Integrative weighted group lasso and generalized local quadratic approximation. Computational Statistics & Data Analysis, 2016, 104: 66-78. PDF
- Gastwirth, J.L., Xu, W. and Pan, Q. Statistical methods for evaluating minority under-representation on juries and venires: Analysis of the conflicting inferences drawn from the same data in People v. Bryant and Ambrose v. Booker. Law, Probability & Risk 2015, 14(4): 279-304. PDF
- Gastwirth, J.L. Xu, W. and Pan. Q. Did the Michigan Supreme Court Appreciate the Implications of Adopting the “Disparity of the Risk” Measure of Minority Representation in Jury Pools in People v. Bryant? Statistics and Public Policy 2014, 1, 129-132. PDF
- Xu, W., Pan, Q. and Gastwirth, J.L. Proportional hazards models with frailty for negatively correlated processes. Computational Statistics & Data Analysis 2014, 70: 295-307. PDF
- Xu, W., Pan, Q. and Gastwirth, J.L. Adaptive procedures for nested processes: Application to equal employment. Statistics & Its Inference 2014, 7(2): 153-165. PDF
- Pan, Q. and Schaubel, D.E. Proportional hazards regression in the presence of missing study eligibility information. Lifetime Data Analysis, 2014, 20(3): 424-443. PDF
- Tan X., Li Z., Ren S., Rezaei K., Pan Q., Goldstein A., Macri C., Brem R.F. and Fu S.W. Dynamically decreased miR-671-5p expression is associated with oncogenic transformation and radiochemoresistance in breast cancer. Breast Cancer Research 2019, 21(1):89. PDF
- Perreault L, Pan Q, Connor EB, Bray G, Dabelea D, Jack SD, Goldberg R, Kahn S, Kalyani R, Knowler W, Mathiodakis N, Schroeder E, White N. Cardiovascular and Metabolic Risk - Regression from Prediabetes to Normal Glucose Regulation and Prevalence of Microvascular Disease in the Diabetes Prevention Program Outcomes Study. Diabetes Care, 2019, doi: 10.2337/dc19-0244. PDF
- Chang TC, Goud SM, Torcivia-Rodriguez J, Hu Y, Pan Q, Kahsay R, Blomberg J, Mazumder R. Investigation of Somatic Single Nucleotide Variations in Human Endogenous Retrovirus Elements and Their Potential Association with Cancer PLoS One. 2019 Apr 1;14(4):e0213770. PDF
- Herman WH, Pan Q, Edelstein SL, Mather KJ, Perreault L, Barrett-Conner E, Dabelea DM, Horton E, Kahn SE, Knowler WC, Lorenzo C, Pi-Sunyer X, Venditti E, Ye W. Impact of Lifestyle and Metformin Interventions on the Risk of Progression to Diabetes and Regression to Normal Glucose Regulation in Overweight or Obese People with Impaired Glucose Regulation. Diabetes Care. 2017, 40(12):1668-1677. PDF
- Perreault, L., Pan, Q., Mather, K., Watson, K., Kahn, S., Knowler, W., Barrett-Connor, E., Dabelea, D., Vanita, A. and Hamman, R. Exploring Residual Risk for Diabetes and Microvascular Disease in the Diabetes Prevention Program Outcomes Study. Diabetic Medicine 2017, 34(12):1747-1755. PDF
- Mather KJ, Pan Q, Knowler WC, Funahashi T, Bray GA, Arakaki R, Falkner B, Sharma K, and Goldstein BJ. Treatment-induced changes in plasma adiponectin do not affect urinary albumin excretion in the Diabetes Prevention Program cohort. Plos One 2015, 10(8): e0136853. PDF
- Papandonatos G.D., Pan Q., Pajewski N., Delahanty L.M., Peter I., Erar B., Ahmad S., Harden M., Chen L., Fontanillas P., Wagenknecht L., Kahn S., Wing R., Jablonski K., Huggins G., Knowler W., Florez J., McCaffery J., Franks P. Genetic predisposition to weight loss & regain with lifestyle intervention: Analyses from the Diabetes Prevention Program & the Look AHEAD randomized controlled trials. Diabetes Care 2015, 64:4312-4321. PDF
- Delahanty, L.M., Pan, Q., Jablonski, K.A., Aroda, V.R., Watson, K., Bray, G.A., Kahn, S.E., Florez, J.C., Perreault, L. and Franks, P.W. Effects of weight loss, weight cycling and weight loss maintenance on diabetes incidence and cardiometabolic traits in the diabetes prevention program. Diabetes Care 2014 Oct, 37(10): 2738-45. PDF
- Marrero, D., Pan, Q., Barrett-Connor, E., de Groot, M., Zhang, P., Percy, C., Florez, H., Ackermann, R., Montez, M. and Rubin, R.R., Impact of diagnosis of diabetes on health-related quality of life among high risk individuals: the DPP outcome study. Quality of Life Research 2014, 23(1), 75-88.PDF
NON-PEER REVIEWED PUBLICATIONS