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Lee, C., Wong, K., Lam, K., and Xu, J. (2021). Analysis of Clustered Interval-Censored Data using a Class of Semiparametric Partly Linear Frailty Transformation Models. Biometrics. In press.
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Zhou, Y., Zhang, L., Xu, J., Zhang, J., and Yan, X. (2021). Category encoding method to select feature genes for the classification of bulk and single-cell RNA-seq data. Statistics in Medicine, 40, 4077-4089.
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Wong, T., Wong, C., Zhang, X., Zhou, Y., Xu, J., Yuen, K., Wan, J., and Louie, J. (2021). The Association Between Coffee Consumption and Metabolic Syndrome in Adults: A Systematic Review and Meta-Analysis. Advances in Nutrition, 12(3):708-721.
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Chang, H.-W.,McKeague, I. W. and Wang, Y.-J. (2021) A Case Study of Non-inferiority Testing with Survival OutcomesCase Studies in Business, Industry and Government Statistics, 8, 1-13.[pdf] [Code and data]
Jiao, S., Aue, A. & Ombao, H. (2021). Functional Time Series Prediction Under Partial Observation of the Future Curve. Journal of the American Statistical Association. 118/541. 315 - 316.
Jiao, S. & Ombao, H. (2021). Shape-preserving Prediction for Stationary Functional Time Series. Electronic Journal of Statistics. 15/2. 3996 - 4026.
Xue, H., Shen, X., & Pan, W. (2021). Constrained maximum likelihood-based Mendelian randomization robust to both correlated and uncorrelated pleiotropic effects. The American Journal of Human Genetics, 108(7), 1251-1269.
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Xue, H., & Pan, W. (2020). Inferring causal direction between two traits in the presence of horizontal pleiotropy with GWAS summary data. PLoS Genetics, 16(11), e1009105. [ Link: https://doi.org/10.1371/journal.pgen.1009105 ]
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Ng, C. T., Shi, Y., & Chan, N. H. (2020). Markowitz portfolio and the blur of history. International Journal of Theoretical and Applied Finance, 23(5), Article 2050030. Advance online publication.
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Chan, N. H., Cheung, S. K. C., & Wong, S. P. S. (2020). Inference for the degree distributions of preferential attachment networks with zero-degree nodes. Journal of Econometrics, 216(1), 220-234. Advance online publication.
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Xu, J., Li, W. K., and Ying, Z. (2020). Variable Screening for Survival Data in the Presence of Heterogeneous Censoring. Scandinavian Journal of Statistics, 47, 1171-1191.
Xu, J., Yue, M., and Zhang, W. (2020). A New Multilevel Modeling Approach for Clustered Survival Data. Econometric Theory, 36, 707-750.
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Fang, Y. and Xu, J. (2020). Joint Variable Screening in the Censored Accelerated Failure Time Model. Statistica Sinica, 30, 467-485.
Ji, K., Tan, J., Xu, J., and Chi, Y. (2020) Learning Latent Features With Pairwise Penalties in Low-Rank Matrix Completion. IEEE Transactions on Signal Processing, 68, 4210-4225.
Yang, Yi. , Basu, Saonli. & Zhang, Lin. (Mar 2020). A Bayesian hierarchical variable selection prior for pathway-based GWAS using summary statistics. Statistics in medicine. 39 (6). 724 - 739. doi:10.1002/sim.8442
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Wang, C., Shen, Q., Du, L., Xu, J., and Zhang, H. (2018). A Functional Beta Model for Detecting Age-related Genomewide DNA Methylation Marks. Statistical Methods in Medical Research, 27(9): 2627-2640.
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Xu, S., Yuan, M., Zhu, H., Yang, Y., Wang, H., Zhou, H., Xu, J., Zhang, L. and Pinheiro, J. (2018). Full covariate modelling approach in population pharmacokinetics: understanding the underlying hypothesis tests and implications of multiplicity. Br J Clin Pharmacol, 84, 1525-1534.
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