Publications

Selected Publications in Refereed Statistical Journals and Chapters 

 

  • Tang, X., Xue, F. and Qu, A. “Individualized Multi-directional Variable Selection.” Journal of the American Statistical Association,  to appear.
  • Dai, B., Shen, X., Wang, J. and Qu, A. “Scalable collaborative ranking for personalized prediction.” Journal of the American Statistical Association, to appear.
  • Tang, X., Bi, X. and Qu, A. “Individualized Multilayer Tensor Learning with An Application in Imaging Analysis.” Journal of the American Statistical Association, to appear.
  • Shen, J. and Qu, A. “Subgroup analysis based on structured mixed-effects models for longitudinal data.” Journal of Biopharmaceutial Statistics, to appear.
  • Kinson, C., Tang, X., Zuo, Z. and Qu, A.  “Longitudinal principle component analysis with an application on marketing data.” Journal of Computational and Graphical Statistics, to appear.
  • Xue, L., Shu, X., Shi, P., Wu, C. O. and Qu, A. “Time-varying feature selection for longitudinal analysis.” Statistics in Medicine, to appear.
  • Wang, Y., Bi, X. and Qu, A. “A Logistic factorization model for recommender systems with multinomial responses.” Journal of Computational and Graphical Statistics, to appear.
  • Zhu, X., Tang, X. and Qu, A. “Longitudinal clustering for heterogeneous binary data.” Statistica Sinica, to appear.
  • Dai, B., Wang, J., Shen, X. and Qu, A. (2019) “Smooth neighborhood recommender systems.” Journal of Machine Learning Research, 20, 1-24.
  • Lyu, Y., Zhu, X., Zhu, Z., and Qu, A. “Nonparametric cluster analysis on multiple outcomes of longitudinal data.” Statistica Sinica, to appear.
  • Zhang, Y., Tang, N. and Qu, A. “Imputed factor regression for high-dimensional block-wise missing data.” Statistica Sinica, to appear.
  • Xue, L., Shu, X. and Qu, A.  “Time-varying estimation and dynamic model selection with an application of network data.” Statistica Sinica, to appear.
  • Bi, X., Qu, A. and Shen, X. (2018). “Multilayer tensor factorization with applications to recommender systems.” Annals of Statistics, 46, 3308–3333.
  • Bi, X. and Qu, A. (2018). “A mixed-effects model for nonignorable missing longitudinal data.” Statistica Sinica, 28, 1653-1675.
  • Zheng, X., Xue, L. and Qu, A. (2018). “Time-varying correlation structure estimation and local feature detection for spatio-temporal data.” Journal of Multivariate Analysis, V. 168, 221-239.
  • Zhu, X. and Qu, A. (2018). “Cluster analysis of longitudinal profiles with subgroups.” Electronic Journal of Statistics, V. 12, 171-193.
  • Wang, J., Shen, X., Sun, Y. and Qu, A. (2017). “Automatic tagging with existing and novel tags.” Biometrika, V. 104, 273-290.
  • Bi, X., Qu, A., Wang, J. and Shen, X. (2017). “A group-specific recommender system.” Journal of the American Statistical Association, V. 112, 1344-1353. Matlab coding.
  • Shi, P. and Qu, A. (2017). “Weak Signal identification and inference in penalized model selection.” Annals of Statistics, V. 45, 1214-1253.
  • Cho, H., Wang, P. and Qu, A. (2017). “Personalized treatment for longitudinal data.” Statistica Sinica, V. 27, 187-205.
  • Zhao, P., Tang, N., Qu, A. and Jiang, D. (2017). “Semiparametric estimating equations inference with nonignorable nonresponse.” Statistica Sinica, V. 27, 89-113.
  • Shu, X., Wang, J., Shen, X. and Qu, A. (2017). “Words segmentation in Chinese language processing.” Statistics and Its Interface, V. 10, 165-173.
  • Zhu, X. and Qu, A. (2016). “Individualizing drug dosage with longitudinal data.” Statistics in Medicine, V. 35, 4474-4488.
  • Wang, P., Zhou, J. and Qu, A. (2016). “Model selection for correlation structure for diverging clustered data.” Canadian Journal of Statistics, V. 44, 343-360.
  • Xuan Bi and Annie Qu (2015). “Sufficient dimension reduction for correlated data.” Statistica Sinica, V. 25, 787-807.
  • 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. PDF file.
  • 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, Li Wang, and Annie Qu (2010). “Incorporating correlation for multivariate failure time data when cluster size is large.”  Biometrics, V. 66, 393-404.
  • Peter Song, Zhichang Jiang, Eunjoo Park and Annie Qu (2009). “Quadratic inference functions in marginal models for longitudinal data.” Statistics in Medicine, V. 28, 3683-3696.
  • Dziak, J. J., Li, R and Annie Qu (2009) “An overview on quadratic inference function approaches for longitudinal data.” Frontiers of Statistics, Vol 1: New developments in biostatistics and bioinformatics, edited by Fan, J., Liu, J. S. and Lin, X. World scientific publishing, Chapter 3, 49-72.
  • Peng Zhang, Peter Song, Annie Qu and Tom Greene (2008), “Efficient estimation of treatment effects on disease progression using non-normal random effects models.”  Biometrics, V. 64, 29-38.
  • Guei-Feng Tsai and Annie Qu (2008), “Testing the significance of cell-cycle patterns in time-course microarray data using nonparametric quadratic inference functions.” Computational Statistics & Data Analysis, V. 52, 1387-1398.
  • Peter Song, Peng Zhang and Annie Qu (2007), “Maximum likelihood inference in robust linear mixed-effects models using multivariate t distribution.” Statistica Sinica, V. 17, 929-943.
  • Annie Qu and Runze Li (2006), “Quadratic inference functions for varying coefficient models with longitudinal data.” Biometrics, V.  62,  379-391.
  • Annie Qu and Peter Song (2004), “Assessing robustness of generalised estimating equations and quadratic inference functions.” Biometrika, V. 91, 447-459.
  • Annie Qu and Peter Song (2002), “Testing ignorable missingness in estimating equation approaches for longitudinal data.” Biometrika, V. 89: 841-850.
  • Annie Qu, Bruce Lindsay and Bing Li (2000), “Improving generalised estimating equations using quadratic inference functions.” Biometrika, V. 87: 823-836.
  • Annie Qu and Lan Xue (2009),  Discussion of “Gaining efficiency via weighted estimators for multivariate failure time data” by Fan, Zhou, Cai and Chen. Science in China, Series A: Mathematics, V. 52, 1134-1136.
  • Annie Qu (2006),  Book review “Mixed models: Theory and Application” by Eugene Demidenko. Biometrics, V. 62, 304-305.

 

Collaborative Publications in Refereed Journals: 

    • Rudahindwa, , Mutesa, L., Rutembesa, E., Mutabaruka, J., Qu, A., Wildman, D. E., Jansen, S and Uddin, M. (2018). “Transgenerational effects of the genocide against the Tutsi in Rwanda: A PTSD symptom domain analysis.” AAS Open Research. Apr. 18, 2018
    • Stelle, L., Schoenheit, T., Brubaker, A., Tang, X., Qu, P., Cradock, K., Sundaram, M., Higham, A. (2018). “Two-year experience of radioactive seed localization versus wire localization for nonpalpable breast lesions at a large community hospital.” Annals of Surgical Oncology, V. 25, 131-136.
    • Liechty, J. M., Bi, X. and Qu, A. (2016). “Feasibility and validity of a statistical adjustment to reduce self-report bias of height and weight in wave 1 of the Add health study.” BMC Medical Research Methodology, V. 16, 124-133.
    • Jensen, T. W., Ray, T., Wang, J., Li, X., Naritoku, W. Y., Han, B., Bellafiore, F., Bagaria, S. P., Qu, A., Cui, X., Taylor, C. R., Ray, P. S. (2015). “Diagnosis of Basal-like Breast Cancer using a FOXC1-based assay.” Journal of National Cancer Research, V. 107 (8), djv148.
    • Green, D. M., Lange, J. M., Qu, A., Peterson, S. M., Kalapurakal, J. A., Stokes, D. C., Grigoriev, Y. A., Takashima, J. R., Norkool, P., Friedman, D. L. and Breslow, N. E. (2013). “Pulmonary disease after treatment for Wilms tumor: A report from the national Wilms tumor long-term follow-up study.”  Pediatric Blood & Cancer, V. 60, 1721-1726.
    • R.A. Spotts, M. Serdani, K.M. Wallis, M. Walter, T. Harris-Virgin, K. Spotts, D. Sugar, C.L. Xiao and A. Qu (2009), “At-harvest prediction of gray mold risk in pear fruit in long -term cold storage.” Crop Protection, V. 28, 414-420.
    • J. R. Jaeger, K. C. Olson, T. Delcurto and A. Qu (2008), “Case study: Pattern of parturition as effected by time of feeding and prediction of the time of day that parturition will occur in spring-calving beef cows. ” The Professional Animal Scientist, V. 24, 247-253.
    • S. Machado, S. Petrie, K. Rhinhart and A. Qu (2007), “Long-term continuous cropping in the Pacific Northwest: Tillage and fertilizer effects on winter wheat, spring wheat, and spring barley production.” Soil & Tillage Research, V. 94, 473-481.
    • M. Serdani, R.A. Spotts, J.M. Calabro, J.D. Postman and A. P. Qu (2006), “Evaluation of the USDA national clomal Pyrus germplasm collection for resistance to Podosphaera leucotricha.” HortScience, V. 41, 717-720.
    • Peter Heidmann, Susan Tornquist, Annie Qu and Christopher Cebra (2005), “ Laboratory measures of hemostasis and fibrinolysis after intravenous administration of e-aminocaproic acid in clinically normal horses and ponies.” American Journal of Veterinary Research, V. 66: 313-318.
    • Ling Zhang, John Selker, Annie Qu and Ajoy Velayudhan (2001), “Numerical estimation of multicomponent adsorption isotherms in preparative chromatography: implications of experimental error.” Journal of Chromatography, A, V. 934, 13-29.
    • S.L. Wimberley, M.T. Haug, K.M. Shermock, A. Qu, J.R. Maurer, A.C. Mehta, R.J. Shilz and S.M. Gordon (2001), “Enhanced Cyclosporine-Itraconazole Interaction with Cola in Lung Transplant Recipients.” Clinical Transplantation, V.15: 116-122.
    • I.L. Katzan, A.J. Furlan, L.E. Lloyd, J.I. Frank, D.L. Harper, J.A. Hinchey, J. Hammel, A. Qu, C.A. Sila (2000), “Use of Tissue-Type Plasminogen Activator for Acute Ischemic Stroke, the Cleveland Area Experience.” Journal of American Medical Association, V. 283: 1151-1158.

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