Statistics Faculty

Annie Qu

  • Professor
  • Department of Statistics
  • University of Illinois at Urbana-Champaign
  • 116B Illini Hall, MC 374
  • 725 S. Wright St.
  • Champaign, IL 61820 USA
  • (217) 333-2167
  • Website
  • 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

    Jianhua Hu, Peng Wang and Annie Qu (2015). Estimating and identifying unspecified correlation structure for longitudinal data. Journal of Computational and Graphical Statistics, V. 24, 455-476.

    Xuan Bi and Annie Qu (2015). Sufficient dimension reduction for correlated data. Statistica Sinica, V. 25, 787-807.

    Xianlong Wang and Annie Qu (2014). Efficient classification for longitudinal data. Computational Statistics and Data analysis, V. 78, 119-134.

    Lily Wang, Lan Xue, Annie Qu and Hua Liang (2014). Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates. Annals of Statistics, V. 42, 592-624.

    Hyunkeun Cho and Annie Qu (2013). Model selection for correlated data with diverging number of parameters. Statistica Sinica, V. 23, 901-927.

    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.