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Li, Y., Ren, X., Yu, H., Sun, T*., Ma, S. (2023) PIN: A penalized integrative deep neural network for variable selection among multiple omics datasets. The 21th Asia Pacific Bioinformatics Conference, Accepted.
Wang, F., Li, H., Wang, H., Li, Y*. (2023) Spatial correlated incidence modeling with zero-inflation. Biometrical Journal, Published Online.
Li, Y., Yang, H., Yu, H., Huang, H., Shen, Y*. (2023) Penalized estimating equations for generalized linear models with multiple imputation. The Annals of Applied Statistics, Published Online.
Wang, F., Duan, C., Li, Y., Huang, H*., Shia, B-C. (2022) Spatiotemporal varying coefficient model for respiratory disease mapping in Taiwan. Biostatistics, Published Online.
Zhan, Z., Li, Y., Lin, C*., Yang, Y. (2022) Model averaging for semiparametric varying coefficient quantile regression models and applications. Annals of the Institute of Statistical Mathematics, Published Online.
Li, Y., Liang, D., Ma, S., Ma, C*. (2022) Spatio-Temporally smoothed deep survival neural network. Journal of Biomedical Informatics, Published Online.
Yang, H., Qin, Y., Wang, F., Li, Y*., Hu, F. (2022) Balancing covariates in multi-arm trials via adaptive randomization. Computational Statistics & Data Analysis, Published Online.
Lin, C., Qiao, N., Zhang, W., Li, Y*., Ma, S. (2022) Default risk prediction and feature extraction using penalized deep neural network. Statistics and Computing, Published Online.
Lin, C., Peng, J., Qin, Y., Li, Y*., Yang, Y. (2022) Optimal integrating learning for split questionnaire design type data. Journal of Computational and Graphical Statistics, Published Online.
Qin, Y., Wang, L., Li, Y., Li, R*. (2022) Visualization and assessment of model selection uncertainty. Computational Statistics & Data Analysis, Published Online.
Zhang, Z., He, Z., Qin, Y., Shen, Y., Shia, B-C., Li, Y*. (2022) Variable selection with scalable bootstrapping in generalized linear model for massive data. Journal of Data Science, Published Online.
Zhang, J., Fan, X*., Li, Y*., Ma, S. (2022) Heterogeneous graphical model for non-negative and non-gaussian PM2.5 data. Journal of the Royal Statistical Society Series C, Published Online.
Li, Y., Wang, F., Shen, Y., Qin, Y., Si, J*. (2022) Selection of mixed copula for correlation modeling with tied observations. Statistical Methods and Applications, Published Online.
Qin, Y., Li, Y., Ma, W., Yang, H., Hu, F*. (2022) Adaptive randomization via Mahalanobis distance. Statistica Sinica, Published Online.
Chen, J., Bie, R., Qin, Y., Li, Y*., Ma, S. (2022) Lq-based robust analytics on ultrahigh and high dimensional data. Statisitcs in Medicine, 41(26), 5220-5241.
Li, Y., Xu, S., Ma, S., Wu, M*. (2022) Network-based cancer heterogeneity analysis incorporating multi-view of prior information. Bioinformatics, 38(10), 2855-2862.
Qin, Y., Yu, L., Li, Y*. (2021) Iterative connecting probability estimation for networks. NeurIPS 2021, Published Online.
Li, Y., Li, R., Qin, Y., Lin, C*., Yang, Y. (2021) Robust group variable screening based on maximum Lq-likelihood estimation. Statistics in Medicine, Published Online.
Chen, Y., Li, Y., Smith, M.L., Li, C., Shen, Y*. (2021) Analyzing evidence-based falls prevention data with significant missing information using variable selection after multiple imputation. Journal of Applied Statistics, Published Online.
Wang, L., Qin, Y*., Li, Y. (2021) Confidence graphs for graphical model selection. Statistics and Computing, Published Online.
Li, Y., Ma, W*., Qin, Y., Hu, F. (2021) Inference for generalized linear models under covarite-adaptive randomization. Statistical Methods in Medical Research, Published Online.
Li, Y., Wang, F., Wu, M*., Ma, S. (2020) Integrative functional linear model for genome-wide association studies with multiple traits. Biostatistics, Published Online.
Wang, F., Yang, Y., Tso, G.K.F., Li, Y*. (2020) The detection of social promotion success: a case study of crowdfunding projects. Applied Stochastic Models in Business and Industry, Published Online.
Li, Y., Wang, F., Li, R., Sun, Y*. (2020) Semiparametric integrative interaction analysis for non-small-cell lung cancer. Statistical Methods in Medical Research, 29(10), 2865-2880.
Ma, C., Li, Y., Shia, B-C., Ma, S*. (2020) Human disease cost network analysis. Statistics in Medicine, 39(9), 1237-1249.
Li, Y., Li, Y*., Qin, Y., Yan, J. (2020) Copula modeling for data with ties. Statistics and Its Interface, 13, 103-117.
Ma, W., Qin, Y., Li, Y., Hu, F*. (2020) Statistical Inference for Covariate-Adaptive Randomization Procedures. Journal of American Statistical Association, 115(531), 1488-1497.
Wang, F., Yang, Y., Tso, G.K.F., Li, Y*. (2019) Analysis of launch strategy in cross-border e-commerce market via topic modeling of consumer reviews. Electronic Commerce Research, 19, 863-884.
Sun, Y., Sun, Z., Jiang, Y., Li, Y., Ma, S*. (2019) An integrative sparse boosting analysis of cancer genomic commonality and difference. Statistical Methods in Medical Research, Published Online.
Li, Y., Li, R., Qin, Y., Wu, M., Ma, S*. (2019) Integrative interaction analysis using threshold gradient directed regularization. Applied Stochastic Models in Business and Industry, 35(2), 354-375.
Sun, Y., Jiang, Y., Li, Y., Ma, S*. (2019) Identification of cancer omics commonality and difference via community fusion. Statistics in Medicine, 38(7), 1200-1212.
Li, Y., Li, R., Qin, Y., Lin, C*., Ma, S*. (2019) Penalized integrative semi-parametric interaction analysis for multiple genetic datasets. Statistics in Medicine. Published Online.
Li, Q., Tso, G.K.F., Qin, Y., Lovejoy, T. I., Heckman, T. G., and Li, Y*. (2019) Penalized multiple inflated values selection method with application to SAFER data. Statistical Methods in Medical Research, 28(10-11), 3205-3225.
Li, Y., Luo, Y., Ferrari, D., Hu, X., Qin, Y*. (2019) Model confidence bounds for variable selection. Biometrics, 75, 392-403.
Li, Y., Luo, Y., Ferrari, D., Hu, X., Qin, Y*. (2019) Rejoinder to discussion on model confidence bounds for variable selection. Biometrics, 75, 411-413.
Li, Y., Bie, R., Teranhidalgo, S., Qin, Y., Wu, M*., Ma, S*. (2018) Assisted gene expression-based clustering with AWNCut. Statistics in Medicine, 37, 4386-4403.
Li, L., Li, Y*., Qin, Y., Wang, L., Chen, J., Yi, D. (2016) Adaptive stochastic gradient boosting tree with composite criterion. Journal of Statistical Computation and Simulation, 86(10), 1901-1911.
Li, Y., Qin, Y., Wang, L., Chen, J., Ma, S*. (2016) Grouped variable selection using area under ROC with adjustable predicted threshold. Communication in Statistics: Computation and Simulation, 45(4), 1268-1280.
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