Nian-Sheng Tang

发表

Semiparametric Bayesian analysis of nonlinear reproductive dispersion mixed models for longitudinal data

Nian-Sheng Tang, Yuan-Ying Zhao, Niansheng Tang, 2013, J. Multivar. Anal..

Regression analysis of interval-censored failure time data with time-dependent covariates

Nian-Sheng Tang, Fengting Yi, Jianguo Sun, 2020, Comput. Stat. Data Anal..

Testing equality of risk ratios in multiple 2×2 tables with structural zero

Nian-Sheng Tang, Shao-Ping Jiang, 2011, Comput. Stat. Data Anal..

Bayesian analysis of semiparametric reproductive dispersion mixed-effects models

Nian-Sheng Tang, Xue-Dong Chen, Niansheng Tang, 2010, Comput. Stat. Data Anal..

Local influence analysis of nonlinear structural equation models with nonignorable missing outcomes from reproductive dispersion models

Xing Chen, Nian-Sheng Tang, Ying-Zi Fu, 2009, Comput. Stat. Data Anal..

Semiparametric Bayesian joint models of multivariate longitudinal and survival data

Nian-Sheng Tang, Dong-Dong Pan, An-Min Tang, 2014, Comput. Stat. Data Anal..

Testing hypothesis for a simple ordering in incomplete contingency tables

Nian-Sheng Tang, Guo-Liang Tian, Hui-Qiong Li, 2016, Comput. Stat. Data Anal..

Analysis of the risk difference of marginal and conditional probabilities in an incomplete correlated 2×2 table

Shunfang Wang, Nian-Sheng Tang, Xue-Ren Wang, 2006, Comput. Stat. Data Anal..

A Bayesian approach for generalized random coefficient structural equation models for longitudinal data with adjacent time effects

Nian-Sheng Tang, Xin-Yuan Song, Sy-Miin Chow, 2012, Comput. Stat. Data Anal..

Robust estimation of generalized estimating equations with finite mixture correlation matrices and missing covariates at random for longitudinal data

Nian-Sheng Tang, Wenjun Wang, Nian-Sheng Tang, 2019, J. Multivar. Anal..

Sensitivity analysis of partially linear models with response missing at random

Nian-Sheng Tang, Ai-Xia Fan, Niansheng Tang, 2017, Commun. Stat. Simul. Comput..

Bayesian analysis of non-linear structural equation models with non-ignorable missing outcomes from reproductive dispersion models

Nian-Sheng Tang, Ying-Zi Fu, Xing Chen, 2009, J. Multivar. Anal..

A semiparametric Bayesian approach to generalized partial linear mixed models for longitudinal data

Nian-Sheng Tang, Xing-De Duan, Niansheng Tang, 2012, Comput. Stat. Data Anal..

Bayesian Analysis of Nonlinear Reproductive Dispersion Mixed Models for Longitudinal Data with Nonignorable Missing Covariates

Hui Zhao, Nian-Sheng Tang, H Zhao, 2014, Commun. Stat. Simul. Comput..

Imputed Factor Regression for High-dimensional Block-wise Missing Data

Nian-Sheng Tang, Annie Qu, Yan-Qing Zhang, 2020 .

Empirical likelihood inference for mean functionals with nonignorably missing response data

Hui Zhao, Nian-Sheng Tang, Pu-Ying Zhao, 2013, Comput. Stat. Data Anal..

A propensity score adjustment method for regression models with nonignorable missing covariates

Nian-Sheng Tang, Pu-Ying Zhao, Depeng Jiang, 2016, Comput. Stat. Data Anal..

Testing the equality of proportions for correlated otolaryngologic data

Nian-Sheng Tang, Man-Lai Tang, Shi-Fang Qiu, 2008, Comput. Stat. Data Anal..

Generalized linear latent models for multivariate longitudinal measurements mixed with hidden Markov models

Nian-Sheng Tang, Jianwei Gou, Ye-mao Xia, 2016, J. Multivar. Anal..

Category-Adaptive Variable Screening for Ultra-High Dimensional Heterogeneous Categorical Data

Nian-Sheng Tang, Jinhan Xie, Yuanyuan Lin, 2020, Journal of the American Statistical Association.

Bayesian influence analysis of generalized partial linear mixed models for longitudinal data

Nian-Sheng Tang, Xing-De Duan, Niansheng Tang, 2014, J. Multivar. Anal..

Bayesian local influence of semiparametric structural equation models

Ming Ouyang, Xiaodong Yan, Ji Chen, 2017, Comput. Stat. Data Anal..

Bayesian empirical likelihood estimation of quantile structural equation models

Yanqing Zhang, Nian-Sheng Tang, Niansheng Tang, 2017, J. Syst. Sci. Complex..

Bayesian adaptive Lasso for quantile regression models with nonignorably missing response data

Nian-Sheng Tang, Dengke Xu, Niansheng Tang, 2019, Commun. Stat. Simul. Comput..

Bayesian analysis for mixture of latent variable hidden Markov models with multivariate longitudinal data

Nian-Sheng Tang, Ye-mao Xia, Niansheng Tang, 2019, Comput. Stat. Data Anal..

Bayesian local influence analysis of general estimating equations with nonignorable missing data

Yanqing Zhang, Nian-Sheng Tang, 2017, Comput. Stat. Data Anal..

Inference on Two-Part Latent Variable Analysis Model With Multivariate Longitudinal Data

Nian-Sheng Tang, Bin Lu, Ye-Mao Xia, 2019 .

Bayesian Methods for Analyzing Structural Equation Models With Covariates, Interaction, and Quadratic Latent Variables

Nian-Sheng Tang, Sik-Yum Lee, Xin-Yuan Song, 2007 .

Latent variable selection in structural equation models

Yanqing Zhang, Nian-Sheng Tang, Guo-Liang Tian, 2016, J. Multivar. Anal..