Pang Du

Research Interests

My research is supported by NSF DMS-1007126 (06/01/10 to 05/31/13).

• Nonparametric smoothing
• Survival analysis
• High dimensional variable selection
• ROC curve analysis
• Semiparametric models

Education

Recent Publications

• Du, P., Cheng, G., and Liang, H. (2012). Semiparametric regression models with additive nonparametric components and high dimensional parametric components, Computational Statistics and Data Analysis 56, 2006-2017.
• Wang, L., Du, P., and Liang, H. (2011). Two-component mixture cure rate model with spline estimated nonparametric components, Biometrics, to appear.
• Ma, S. and Du, P. (2011). Variable selection in partly linear regression model with diverging dimensions for right censored data, Statistica Sinica, to appear.
• Chambers, D. L., Wojdak, J. M., Du, P., and Belden, L. K. (2011). Corticosterone level changes throughout larval development in the amphibians Rana sylvatica and Ambystoma jeffersoniannum, Copeia 2011(4), 530-538.
• Du, P., Jiang, Y., and Wang, Y. (2011). Smoothing spline ANOVA frailty model for recurrent event data, Biometrics 67, 1330-1339.
• Tang, L., Du, P., and Wu, C. (2010). Compare diagnostic tests using transformation-invariant smoothed ROC curves, Journal of Statistical Planning and Inference 140, 3540-3551.
• Du, P. and Ma, S. (2010). Frailty model with spline estimated nonparametric hazard function, Statistica Sinica 20, 561-581.
• Woodall, W. H., Birch, J. B., and Du, P. (2010). Discussion of Nonparametric profile monitoring by mixed effects modeling by Qiu, Zou and Wang, Technometrics 52, 285-287.
• Du, P., Ma, S., and Liang, H. (2010). Penalized variable selection procedure for Cox models with semiparametric relative risk, Annals of Statistics 38, 2092-2117.
• Du, P. and Tang, L. (2009). Transformation-invariant and nonparametric monotone smooth estimation of ROC curves, Statistics in Medicine 28: 349-359.
• Du, P. (2009). Nonparametric modeling of the gap time in recurrent event data, Lifetime Data Analysis 15: 256-277.
• Du, P. and Gu, C. (2009). Penalized pseudo-likelihood hazard estimation: a fast alternative to penalized likelihood, Journal of Statistical Planning and Inference 139: 891-899.
• Du, P. and Gu, C. (2006). Penalized likelihood hazard estimation: efficient approximation and Bayesian confidence intervals, Statistics and Probability Letters 76: 244-254.

Honors

• Elected Member of the International Statistical Institute.
• Paper Award, Section on Statistics in Epidemiology, American Statistical Association. Salt Lake City, UT. July 29 - August 2, 2007.
• Best Paper Award, ICSA 2006 Applied Statistics Symposium. Storrs, CT. June 14 - 17, 2006.
• Ross Assistantship, Purdue University, August 2002 - August 2006.

My kids