Regression analysis of multivariate recurrent event data with time-varying covariate effects. - Liuquan Sun; Liang Zhu; Jianguo Sun (J. Multivar. Anal., 2009)

Exploring the varying covariate effects in proportional odds models with censored data. - Qihua Wang; Xingwei Tong; Liuquan Sun (J. Multivar. Anal., 2012)

A class of transformed hazards models for recurrent gap times. - Fangyuan Kang; Liuquan Sun; Xingqiu Zhao (Comput. Stat. Data Anal., 2015)

A semiparametric additive rates model for multivariate recurrent events with missing event categories. - Peng Ye; Xingqiu Zhao; Liuquan Sun; Wei Xu 030 (Comput. Stat. Data Anal., 2015)

Consistent test of error-in-variables partially linear model with auxiliary variables. - Zhihua Sun; Xue Ye; Liuquan Sun (J. Multivar. Anal., 2015)

Analysis of a fixed center effect additive rates model for recurrent event data. - Haijin He; Deng Pan; Liuquan Sun; Yimei Li; Leslie L. Robison; Xinyuan Song (Comput. Stat. Data Anal., 2017)

Identification of local sparsity and variable selection for varying coefficient additive hazards models. - Lianqiang Qu; Xinyuan Song; Liuquan Sun (Comput. Stat. Data Anal., 2018)

Consistent test for parametric models with right-censored data using projections. - Zhihua Sun; Xue Ye; Liuquan Sun (Comput. Stat. Data Anal., 2018)

An Additive Hazards Model for Clustered Recurrent Gap Times. - Fangyuan Kang; Liuquan Sun; Ximing Cheng (J. Syst. Sci. Complex., 2018)

A rank-based approach to estimating monotone individualized two treatment regimes. - Haixiang Zhang; Jian Huang; Liuquan Sun (Comput. Stat. Data Anal., 2020)

Continuous time hidden Markov model for longitudinal data. - Jie Zhou; Xinyuan Song; Liuquan Sun (J. Multivar. Anal., 2020)

Optimal subsample selection for massive logistic regression with distributed data. - Lulu Zuo; Haixiang Zhang; HaiYing Wang 004; Liuquan Sun (Comput. Stat., 2021)

Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model. - Meiling Hao; Lianqiang Qu; Dehan Kong; Liuquan Sun; Hongtu Zhu (J. Mach. Learn. Res., 2021)

Estimating Cumulative Treatment Effect Under an Additive Hazards Model. - Xiaoliang Lü; Baoxue Zhang; Liuquan Sun (J. Syst. Sci. Complex., 2021)

Variable screening for varying coefficient models with ultrahigh-dimensional survival data. - Lianqiang Qu; Xiaoyu Wang; Liuquan Sun (Comput. Stat. Data Anal., 2022)

Semiparametric Probit Regression Model with General Interval-Censored Failure Time Data. - Yi Deng; Shuwei Li; Liuquan Sun; Xinyuan Song (J. Comput. Graph. Stat., 2024)

Approximating Partial Likelihood Estimators via Optimal Subsampling. - Haixiang Zhang; Lulu Zuo; HaiYing Wang 004; Liuquan Sun (J. Comput. Graph. Stat., 2024)

Renewable learning for multiplicative regression with streaming datasets. - Tianzhen Wang; Haixiang Zhang; Liuquan Sun (Comput. Stat., 2024)

Distributed variable screening for generalized linear models. - Tianbo Diao; Bo Li; Lianqiang Qu; Liuquan Sun (Comput. Stat. Data Anal., 2025)

Conditional inference for ultrahigh-dimensional additive hazards model. - Meiling Hao; Ruiyu Yang; Fangfang Bai; Liuquan Sun (Comput. Stat. Data Anal., 2025)