Academic Profile : Faculty
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
Email
Journal Articles
(Not applicable to NIE
staff as info will be
pulled from PRDS)
(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.
Click here for more publications.
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.
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.
Click here for more publications.
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.