Publications
You can also find my publications on Google Scholar.
Book
- Sun, L.-H., Huang, X.-W., Alqawba, M. S., Kim, J.-M., & Emura, T. (2020). Copula-based Markov models for time series: Parametric inference and Process Control. Singapore: Springer. [link]
Articles
(* is the corresponding author)
Statistical Methodology
Liang, S., Fang, K. T., Huang, X.-W.., Xin, Y., & *Ma, C. X. (2024). Homogeneity tests and interval estimations of risk differences for stratified bilateral and unilateral correlated data. Statistical Papers, 1-45. [link]
Huang, X.-W., & *Emura, T. (2024). Computational methods for a copula-based Markov chain model with a binomial time series. Communications in Statistics-Simulation and Computation, 53(4), 1973-1990. [link]
Huang, X.-W., Wang, W., & *Emura, T. (2021). A copula-based Markov chain model for serially dependent event times with a dependent terminal event. Japanese Journal of Statistics and Data Science, 4(2), 917–951. [link ]
Huang, X.-W., & *Emura, T. (2021). Model Diagnostic Procedures for copula-based Markov chain models for Statistical Process Control. Communications in Statistics - Simulation and Computation, 50(8), 2345–2367. [link]
Collaborative Applied Research
Chua Jr, A. V., Delmerico, J., Sheng, H., Huang, X.-W., Liang, E., Yan, L., Gandhi, S., Puzanov, I., Jain, P., Sakoda, L. C., Morrow, G. R., Ambrosone, C. B., Kamen, C., & *Yao, S. (2024). Under-Representation and Under-Reporting of Minoritized Racial and Ethnic Groups in Clinical Trials on Immune Checkpoint Inhibitors. JCO Oncology Practice, OP-24. [link]
Liang, E., Beshara, M., Sheng, H., Huang, X.-W., Roh, J. M., Laurent, C. A., Lee, C., Delmerico, J., Tang, L., Lo, J. C., Hong, C.-C., Ambrosone, C. B., Kushi, L. H., Kwan, M. L., & *Yao, S. (2024). A prospective study of vitamin D, proinflammatory cytokines, and risk of fragility fractures in women on aromatase inhibitors for breast cancer. Breast Cancer Research and Treatment, 1-10. [link]
In-progress/Submitted
Liang, S., *Huang, X.-W. (2024+) Testing the Homogeneity of Two Proportions for Correlated Bilateral Data via Clayton Copulas.
Huang, X.-W., *Chakraborty, S. (2024+) A Bayesian framework for medical product safety assessment using correlated spontaneous reporting system data.
*Huang, X.-W., Hua, J., Banerjee, B, Wang, X., Li, Q. (2024+) An advanced design of weighted Hochberg procedure with correlated endpoints.