Email: anniequ
Voice: 217.333.2167
Fax: 217.244.7190

116B Illini Hall
725 S. Wright St.
Champaign, IL 61820

Annie Qu


Department of Statistics

University of Illinois at Urbana-Champaign

Educational Background

  • PhD, Statistics, Pennsylvania State University, 1998

Research Interests

  • Estimating Equations, Longitudinal Data Analysis, Missing Data, Robustness, Nonparametric Models, Mixed Effects Models, Cell Cycle Microarray Data, Biostatistics

Honors and Appointments

  • Elected fellow, American Statistical Association, 2010
  • NSF CAREER Award, 2004-2009
  • Associate Editor: Biometrics, 2006-2012
  • Associate Editor: Journal of American Statistical Association, 2008-present
  • Associate Editor: Statistical Science, 2011- present
  • Arnold O. Beckman Research Award, UIUC, 2011
  • Organizing Committee (co-chair of Statistics) for the 4th IMS-China Conference, Chengdu, China, 2013

Selected Publications

  • Hyunkeun Cho and Annie Qu (2012). Model selection for correlated data with diverging number of parameters. Statistica Sinica, to appear.
  • Lan Xue and Annie Qu (2012). Variable selection in high-dimensional varying-coefficient models with global optimality. Journal of Machine Learning Research, V. 13, 1973-1998.
  • Peng Wang, Guei-feng Tsai, and Annie Qu (2012). Conditional inference functions for mixed-effects models with unspecified random-effects distribution. Journal of the American Statistical Association, V. 107, 725-736.
  • Jianhui Zhou and Annie Qu (2012). Informative estimation and selection of correlation structure for longitudinal data. Journal of the American Statistical Association, V. 107, 701-710.
  • Lan Wang, Jianhui Zhou and Annie Qu (2012). Penalized generalized estimating equations for high-dimensional longitudinal data analysis. Biometrics, V. 68, 353-360.
  • Annie Qu, Grace Y. Yi, Peter X.-K. Song and Peng Wang (2011). Assessing the validity of weighted generalized estimating equations. Biometrika, V. 98, 215-224.
  • Lan Xue, Annie Qu and Jianhui Zhou (2010). Consistent model selection for marginal generalized additive model for correlated data. Journal of the American Statistical Association, V. 105, 1518-1530.
  • Annie Qu, Bruce G. Lindsay and Lin Lu (2010). Highly efficient aggregate unbiased estimating functions approach for correlated data with missing at random. Journal of the American Statistical Association, V. 105, 194-204.
  • Lan Xue, Li Wang, and Annie Qu (2010). Incorporating correlation for multivariate failure time data when cluster size is large. Biometrics, V. 66, 393-404.
  • Lan Wang and Annie Qu (2009). Consistent model selection and data-driven tests for longitudinal data in the estimating equation approach. Journal of the Royal Statistical Society, Series B, V. 71, 177-190.
  • Annie Qu, J. Jack Lee and Bruce G. Lindsay (2008). Model diagnostic tests for selecting informative correlation structure in correlated data. Biometrika, V. 95, 891-905.