Publications

Publication List
 Weijing Wang
(July, 2014)

Papers Published

  1. Wang, W. & Wells, M. T. (1997). "Nonparametric Estimators of the Bivariate Survival Function under Simplified Censoring Conditions." Biometrika, 84, 863-880.

  2. Wang, W. & Wells, M. T. (1998). "Nonparametric Estimation of Successive Duration Times under Dependent Censoring." Biometrika, 85, 561-572.

  3. Wang, W. & Wells, M. T. (2000). "Model Selection and Semi-parametric Inference for Bivariate Censored Data." Journal of American Statistical Association, 95, 62-72; (Rejoinder: 75-76).

  4. Wang, W. & Wells, M. T. (2000). "Nonparametric Estimation of Kandell's Tau under Censoring." Statistica Sinica, 10, 1199-1215.

  5. Wang, W. & Ding, A. A. (2000). "On Assessing the Association for Bivariate Current Status Data." Biometrika, 87, 879-893.

  6. Wang, W. & Wells, M. T. (2002). "Power Analysis for Linear Models with Spherical Errors." Journal of Statistical Planning and Inference, 108, 155-171.

  7. Wang, W. (2003). "Estimating the Association Parameter for Copula Models under Dependent Censoring". Journal of the Royal Statistical Society, Series B. 65, 257-273.

  8. Wang, W. (2003). "Nonparametric Estimation of the Sojourn Time Distributions for a Multi-Path Model". Journal of the Royal Statistical Society, Series B. 65, 921-936.

  9. Ding, A. A. and Wang, W. (2004). "Testing Independence for Bivariate Current Status Data." Journal of American Statistical Association. 99, 145-155.

  10. Ding, A. A. and Wang, W. (2007). Inference for Bivariate Survival Data by Copula Models Adjusted for the Boundary Effect. Communication in Statistics, 36, 2927-2936.

  11. Hsieh, J.-J., Wang, W. and Ding, A. A. (2008). "Regression Analysis based on semi-competing risks data". Journal of the Royal Statistical Society, Series B. 70, 3-20.

  12. Chang, W.-H. and Wang, W. (2009). "Regression Analysis for Marginal Failure Probability under Competing Risks". Statistica Sinica, 19, 391-408.

  13. Ding, A. A., Wang, W., Hsieh, J.-J. (2009). "Marginal Regression Analysis for Semi-Competing Risks Data under Dependent Censoring." Scandinavian Journal of Statistics, 36, 481-500.

  14. Emura, T. and Wang, W. (2010). Testing Quasi-independence for Truncation Data. Journal of Multivariated Analysis, 101, 223-239.

  15. Emura, T., Lin, C.-W. and Wang, W. (2010). A goodness-of-fit Test for Archimedean Copula Models in the Presence of Right Censoring. Computational Statistics & Data Analysis, 54, 3033-3043.

  16. Emura, T., Wang, W., Hung, H.-N. (2011). Semi-parametric Inference for Copula Models for Dependently Truncated Data. Statistica Sinica, 21, 349-367.

  17. Wang, W. and Emura, T. (2011, Sep). Comments on: Inference in multivariate Archimedean copula models. Test, 20, 276-280.

  18. Hsieh, J.-J.,Ding, A. A. and Wang, W. (2011). Regression analysis for recurrent events data under dependent censoring. Biometrics, 67, 719-729.

  19. Emura, T. and Wang, W. (2012). Nonparametric maximum likelihood estimation for dependent truncation data based on copulas. Journal of Multivariate Analysis, 110, 171-188.

  20. Ding, A. A., Hsieh, J.-J., Wang W. (2013, Dec, Epub ahead of print). Local linear estimation of concordance probability with application to covariate effects models on association for bivariate failure-time data. Lifetime Data Analysis.

  21. A. A. Ding, J. Hsieh and W. Wang (2014). Association Parameters Regression for Bivariate Failure-Time Data. Advances in Applied and Pure Mathematics, Proceedings of the 2st International Conference on Mathematical, Computational and Statistical Sciences, J. Balicki (Eds.) pp 41-46.

Book Review for Statistics in Medicine. Review of the book, "Analysis of Failure and Survival Data", by P. J. Smith (2002). Published by Chapman & Hall.