Publications


Published or Accepted

  1. Su, X.G. and Fan, J.J. (2004). Multivariate Survival Trees: A Maximum Likelihood Approach based on Frailty Models. Biometrics, 60: 93-99.
  2. Su, X.G., Wang, M., and Fan, J.J. (2004). Maximum Likelihood Regression Trees. Journal of Computational and Graphic Statistics, 13: 586-598.
  3. Yan, X. and Su, X.G. (2005). Testing for Qualitative Interaction. Invited entry in Encyclopedia of Biopharmaceutical Statistics: Second Edition, Revised and Expanded. Ed. By Dr. Shein-Chung Chow. Marcel Dekker, Inc.: New York, NY.
  4. Su, X.G. and Tsai, C.-L. (2005). Tree-Augmented Cox Proportional Hazards Models. Biostatistics. 6: 486-499.
  5. Fan, J., Su, X.G., Levine, R., Nunn, M.E., and LeBlanc, M. (2006). Trees for Correlated Survival Data by Goodness of Split, With Applications to Tooth Prognosis. Journal of American Statistical Association, 101, 959-967.
  6. Su, X.G., Tsai, C.-L., and Yan, X. (2006). Treed Variance. Journal of Computational and Graphical Statistics, 15: 356-371. 
  7. Yan, X. and Su, X.G. (2006). Sample size determination for clinical trials in patients with nonlinear chronic disease progression. Journal of Biopharmaceutical Statistics, 16: 91-105.
  8. Su, X.G. (2007). Tree-Based Model Checking for Logistic Regression. Statistics in Medicine, 26: 2154-2169.
  9. Su, X.G., Fan, J., Wang, A., and Johnson, M. (2006). On Simulating Multivariate Failure Times. International Journal of Applied Mathematics & Statistics, 5: 8-18.
  10. Su, X.G. and Tsai, C.-L. (2006). An Improved Akaike Information Criterion for Generalized Log-Gamma Regression Models, The International Journal of Biostatistics: 2(1): article 10.
  11. Yan, X., Wang, M. and Su, X.G. (2007). Test for consistency of non-inferiority from multiple non-inferiority trials. Journal of Biopharmaceutical Statistics, 17: 265-278.
  12. Meneses, K., McNees, P., Loerzel, V., Su, X. G., Zhang, Y., and Hassey, L. (2007). Transition from Treatment to Survivorship:  Effects of a Psychoeducational Intervention on Quality of Life in Breast Cancer Survivors. Oncology Nursing Forum, 34: 1-10.
  13. Su, X.G. (2008). Review of Data Mining Methods and Models. To appear, The American Statistician.
  14. McNees, P., Meneses, K., and Su, X.G. (2008). Applied Research Tools: Live Item Index Technique (LIITE) for Developing and Evaluating More Effective Behavioral Interventions. Nursing Research, 57(2):69-74.

  15. Su, X.G., Zhou, T., Yan, X., Fan, J.. and Yang, S. (2008). Interaction Trees with Censored Survival Data. The International Journal of Biostatistics, Vol. 4 : Iss. 1, Article 2. Available at: http://www.bepress.com/ijb/vol4/iss1/2.  
  16. Loerzel, V., Meneses, K., McNees, P., Loerzel, V., Su, X. G., and Hassey, L. (2008). A longitudinal study of quality of life in older women with early stage breast cancer in the first year of post-treatment survivorship. Accepted by Oncology Nursing Forum.
  17. Su, X.G., Tsai, C.-L., Wang, H., Nickerson, D. and Li, B. (2008). Tree-Based Subgroup Analysis via Recursive Partitioning. Tentatively accepted by Journal of Machine Learning Research.

  18. Sole, M.L., Aragon, D., Bennett, M., Su, X.G., Jimenez, E., Byers, J.F., Ludy, J.E., and Poalillo, E. (2008). “Assessment of Endotracheal Cuff Pressures with Continuous Monitoring: A Pilot Study,” Accepted by American Journal of Critical Care.

  19. Su, X.G., Tsai, C.-L., and Wang, M. (2008). Tree-Structured Model Diagnostics for Linear Regression. To appear, Machine Learning.

  20. Fan, J.J., Nunn, M, and Su, X.G. (2008). “Multivariate Exponential Survival Trees and its application to tooth prognosis" Conditionally accepted by Computational Statistics and Data Analysis.

  21. Harb, R., Yan, X.D., Radwan, E., and Su, X.G. (2008). Crash Avoidance Analysis Using Classification Trees and Random Forests. Tentatively Accepted by Accident Analysis & Prevention.

Conference Proceedings

  1. Su, X.G., Tsia, C.-L., and Wang, M. (2003), Tree-Augmented Regression (TAR) Analysis. 2003 Proceedings of the Joint Statistical Meeting.
  2. Su, X.G. (2002), Maximum Likelihood Regression Trees. 2002 Proceedings of the American Statistical Association, Statistical Computing Section [CD-ROM], Alexandria, VA: American Statistical Association.
  3. Harb, R., Yan, X.D., Radwan, E., and Su, X.G. (2008). Crash Avoidance Analysis Using Classification Trees and Random Forests.  Proceedings of the 87th TRB Annual MeetingTransportation Research Board (TRB) Annual Meeting 2007 Paper #08-1520.

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