Jing Qian
B.S., Renmin University of China, 2002; Ph.D., Emory University, 2009; Postdoctoral, Harvard University, 2009-2011
Semiparametric and nonparametric inferences, cost and cost-effectiveness analysis, survival analysis under complex sampling, quantile regression, statistical inference with high dimensional data
Dr. Qian's main research interests are in the area of survival analysis, which deals with time-to-event data in general. Specifically, he studies semiparametric methods for correlated time-to-event outcomes, arising from medical cost and cost-effectiveness analysis and multistate clinical trials. By developing a quantile regression approach for censored survival data, Dr. Qian introduces flexible modeling methods to deal with non-constant covariate effects in regression. Currently, he is also active in developing statistical methods for survival data subject to complex sampling.
Dr. Qian is also interested in statistical inference with high dimensional data. His other research interests include statistical issues in clinical trials and epidemiological studies, and statistical analysis in neurologic diseases.
Clark, D.E., Qian, J., Sihler, K.C., Hallagan, L. D. and Betensky, R.A. (2012) The Distribution of Survival Times After Injury. World Journal of Surgery, 36 (7), 1562-1570.
Qian, J. and Peng, L. (2010). Censored Quantile Regression Model With Partially Functional Effects. Biometrika, 97 (4), 839-850.
Cerwinka, W.H., Qian, J., Easley, K.A., Scherz, H.C. and Kirsch, A.J. (2009). Appearance of Dextranomer/Hyaluronic Acid Copolymer Implants on Computed Tomography Scan after Endoscopic Treatment of Vesicoureteral Reflux in Children. The Journal of Urology 181, 1324-1329.
