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Pang Du



Professional Memberships

  • American Statistical Association (ASA)
  • Institute of Mathematical Statistics (IMS)
  • International Biometric Society, Eastern North American Region (IBS-ENAR)
  • International Chinese Statistical Association (ICSA)
  • STAT 5594 Topics in Biostatistics: Functional Data Analysis (Spring 2013, Spring 2012)
  • STAT 6105 Measure and Probability (Fall 2012, Fall 2011, Fall 2010, Fall 2009)
  • STAT 4105 Theoretical Statistics I (Fall 2012)
  • STAT 5616 Statistics in Research II (Spring 2011, Spring 2010, Spring 2009, Spring 2008, Spring 2007)
  • STAT 5615 Statistics in Research I (Fall 2009, Fall 2008, Fall 2007, Fall 2006)
  • Nonparametric smoothing
  • Functional data analysis
  • Survival analysis
  • High dimensional variable selection
  • Semiparametric models
  • Wang, X., Du, P., and Shen, J. (2013). Smoothing splines with varying smoothing parameter, Biometrika, to appear. (send us an email for the program used in the paper) 
  • Chambers, D. L., Wojdak, J. M., Du, P., and Belden, L. K. (2013). Pond acidification may explain differences in corticosterone among salamander populations, Physiologial and Biochemical Zoology 2013(2), 224-232.
  • Du, P., Parmeter, C. F., and Racine, J. S. (2013). Nonparametric kernel regression with multiple predictors and multiple shape constraints, Statistica Sinica 23(3), 1347-1371.
  • Du, P. (2012). Invited book review for "Smoothing Splines: Methods and Applications" by Yuedong Wang, Biometrics 68(4), 1327-1328.
  • Liang, H. and Du, P. (2012). Maximum likelihood estimation in logistic regression models with a diverging number of covariates, Electronic Journal of Statistics 6, 1838-1846.
  • 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. (2012). Two-component mixture cure rate model with spline estimated nonparametric components, Biometrics 68, 726-735.
  • Ma, S. and Du, P. (2012). Variable selection in partly linear regression model with diverging dimensions for right censored data, Statistica Sinica 22, 1003-1020.
  • 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.


Pang Du - Virginia Tech Statistics


409-E Hutcheson Hall (MC 0439) 
250 Drillfield Drive 
Blacksburg, VA