Academic Profile : Faculty

Assoc Prof Xiang Liming_1.jpg picture
Assoc Prof Xiang Liming
Assistant Chair (Students), School of Physical & Mathematical Sciences - Division of Mathematical Sciences
Associate Professor, School of Physical & Mathematical Sciences - Division of Mathematical Sciences
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Journal Articles
(Not applicable to NIE
staff as info will be
pulled from PRDS)
Highly Cited:
Xiang, L., & Tsung, F. (2008). Statistical monitoring of multi-stage processes based on engineering models. IIE Transactions, 40(10), 957-970.

Xiang, L., Lee, A. H., Yau, K. K., & McLachlan, G. J. (2007). A score test for overdispersion in zero‐inflated poisson mixed regression model. Statistics in Medicine, 26(7), 1608-1622.

Burke, L., Lee, A. H., Jancey, J., Xiang, L., Kerr, D. A., Howat, P. A., ... & Anderson, A. S. (2013). Physical activity and nutrition behavioural outcomes of a home-based intervention program for seniors: a randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity, 10(1), 1-8.

Kanbur, B. B., Xiang, L., Dubey, S., Choo, F. H., & Duan, F. (2017). Thermoeconomic and environmental assessments of a combined cycle for the small scale LNG cold utilization. Applied Energy, 204, 1148-1162.

Xiang, L., Ma, X., & Yau, K. K. (2011). Mixture cure model with random effects for clustered interval‐censored survival data. Statistics in Medicine, 30(9), 995-1006.

Xiang, L., Lee, A. H., Yau, K. K., & McLachlan, G. J. (2006). A score test for zero‐inflation in correlated count data. Statistics in Medicine, 25(10), 1660-1671.

Peng, M., Xiang, L., & Wang, S. (2018). Semiparametric regression analysis of clustered survival data with semi-competing risks. Computational Statistics & Data Analysis, 124, 53-70.

Kanbur, B. B., Xiang, L., Dubey, S., Choo, F. H., & Duan, F. (2017). Thermoeconomic assessment of a micro cogeneration system with LNG cold utilization. Energy, 129, 171-184.

Xiang, L., Tse, S. K., & Lee, A. H. (2002). Influence diagnostics for generalized linear mixed models: applications to clustered data. Computational Statistics & Data Analysis, 40(4), 759-774.

Hu, T., & Xiang, L. (2013). Efficient estimation for semiparametric cure models with interval-censored data. Journal of Multivariate Analysis, 121, 139-151.

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Recent Publication:
Peng, M., & Xiang, L. (2021). Correlation-based joint feature screening for semi-competing risks outcomes with application to breast cancer data. Statistical Methods in Medical Research, 30(11), 2428-2446.

Liu, X., & Xiang, L. (2021). Generalized accelerated hazards mixture cure models with interval-censored data. Computational Statistics & Data Analysis, 161, 107248.

Yu, T., Xiang, L., & Wang, H. J. (2021). Quantile regression for survival data with covariates subject to detection limits. Biometrics, 77(2), 610-621.

Zhao, J., Zhao, Y., Xiang, L., Khanal, V., Binns, C. W., & Lee, A. H. (2020). A two-part mixed-effects model for analyzing clustered time-to-event data with clumping at zero. Computer methods and programs in biomedicine, 187, 105196.

Szabo, Z., Liu, X., & Xiang, L. (2020). Semiparametric sieve maximum likelihood estimation for accelerated hazards model with interval-censored data. Journal of Statistical Planning and Inference, 205, 175-192.

IL DO Ha, Liming Xiang, Mengjiao Peng, Jong-Hyeon Jeong and Youngjo Lee. (2020). Frailty Modelling Approaches for Semi-competing Risks Data. Lifetime Data Analysis, 26(1), 109-133.

Rui Huang, Liming Xiang and Il Do Ha. (2019). Frailty Proportional Mean Residual Life Regression for Clustered Survival Data: A Hierarchical Quasi-likelihood Method. Statistics in Medicine, 38, 4854-4870.

Mengjiao Peng, Liming Xiang, and Shanshan Wang. (2018). Semiparametric regression analysis of clustered survival data with semi-competing risks. Computational Statistics & Data Analysis, 124, 53-70.
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