Niansheng Tang

Hongtu Zhu, Joseph G Ibrahim, Niansheng Tang, 2012, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Multivariate piecewise joint models with random change-points for skewed-longitudinal and survival data

Jiaqing Chen, Nian-Sheng Tang, Yangxin Huang, 2021, Journal of applied statistics.

Statistical inference for nonignorable missing-data problems: a selective review

Niansheng Tang, Yuanyuan Ju, 2018, Statistical Theory and Related Fields.

Bayesian Sensitivity Analysis of a Nonlinear Dynamic Factor Analysis Model with Nonparametric Prior and Possible Nonignorable Missingness

Joseph G. Ibrahim, Sy-Miin Chow, Hongtu Zhu, 2017, Psychometrika.

Bayesian Sensitivity Analysis of Statistical Models with Missing Data.

Hongtu Zhu, Joseph G Ibrahim, Niansheng Tang, 2014, Statistica Sinica.

Bayesian approaches for analyzing earthquake catastrophic risk

Niansheng Tang, Xuejun Jiang, Yunxian Li, 2016 .

Rejoinder: Bayesian local influence for survival models

J. Ibrahim, Hong-Tu Zhu, Niansheng Tang, 2011 .

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

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

Quantile regression of longitudinal data with informative observation times

Yong Zhou, Xuerong Chen, Niansheng Tang, 2016, J. Multivar. Anal..

Bayesian empirical likelihood estimation of quantile structural equation models

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

Exponentially tilted likelihood inference on growing dimensional unconditional moment models

Nian-Sheng Tang, Pu-Ying Zhao, Niansheng Tang, 2016, 1612.08246.

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..

FRATS: Functional Regression Analysis of DTI Tract Statistics

Martin Styner, John H. Gilmore, Hongtu Zhu, 2010, IEEE Transactions on Medical Imaging.

A Statistical Analysis of Brain Morphology Using Wild Bootstrapping

Hongtu Zhu, Ravi Bansal, Joseph G. Ibrahim, 2007, IEEE Transactions on Medical Imaging.

Empirical Likelihood for Estimating Equations with Nonignorably Missing Data.

Puying Zhao, Niansheng Tang, Hong-Tu Zhu, 2014, Statistica Sinica.

Bayesian Influence Measures for Joint Models for Longitudinal and Survival Data

Hongtu Zhu, Joseph G Ibrahim, Yueh-Yun Chi, 2012, Biometrics.

Detection of functional and structural brain alterations in female schizophrenia using elastic net logistic regression

Ying Wu, Niansheng Tang, P. Ren, 2021, Brain imaging and behavior.

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

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

Adjusted Empirical Likelihood Estimation of Distribution Function and Quantile with Nonignorable Missing Data

Xianwen Ding, Niansheng Tang, Niansheng Tang, 2018, J. Syst. Sci. Complex..

Varying coefficient partially functional linear regression models

Nian-Sheng Tang, Qing-Yan Peng, Niansheng Tang, 2016 .

A new approach to estimation of the proportional hazards model based on interval-censored data with missing covariates

Niansheng Tang, Jianguo Sun, Huiqiong Li, 2022, Lifetime Data Analysis.

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

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

Bayesian analysis of semiparametric reproductive dispersion mixed-effects models

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

Consistency and asymptotic normality of the maximum likelihood estimates in reproductive dispersion linear models

Niansheng Tang, Tian Xia, Xue-Ren Wang, 2006 .

A new non-randomized multi-category response model for surveys with a single sensitive question: Design and analysis

Man-Lai Tang, Guo-Liang Tian, Nian-Sheng Tang, 2009 .

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

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

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

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

Influence analysis for skew‐normal semiparametric joint models of multivariate longitudinal and multivariate survival data

Hongtu Zhu, An-Min Tang, Nian-Sheng Tang, 2017, Statistics in medicine.

Sensitivity analysis of partially linear models with response missing at random

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

Semiparametric Bayesian joint models of multivariate longitudinal and survival data

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

Influence Diagnostics of Semiparametric Nonlinear Reproductive Dispersion Models

Niansheng Tang, Xue-Ren Wang, Xue-Dong Chen, 2010 .

Diagnostic measures for empirical likelihood of general estimating equations

Hongtu Zhu, Joseph G. Ibrahim, Heping Zhang, 2008 .

Confidence intervals construction for difference of two means with incomplete correlated data

Niansheng Tang, Huiqiong Li, Jie-yi Yi, 2016, BMC Medical Research Methodology.

Bayesian local influence of semiparametric structural equation models

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

Generalized empirical likelihood inference for nonsmooth moment functions with non-ignorable missing values

Hong-Tu Zhu, Niansheng Tang, Puying Zhao, 2020 .

A Model-averaging method for high-dimensional regression with missing responses at random

Jinhan Xie, Niansheng Tang, Xiaodong Yan, 2021 .

A nonparametric feature screening method for ultrahigh-dimensional missing response

Xiaoxia Li, Xiaodong Yan, Niansheng Tang, 2020, Comput. Stat. Data Anal..

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 Change-Point Joint Models for Multivariate Longitudinal and Time-to-Event Data

Jiaqing Chen, Nian-Sheng Tang, Yangxin Huang, 2020, Statistics in Biopharmaceutical Research.

Semiparametric Bayesian inference on skew–normal joint modeling of multivariate longitudinal and survival data

An-Min Tang, Nian-Sheng Tang, Niansheng Tang, 2015, Statistics in medicine.

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 variable selection in multinomial probit model for classifying high-dimensional data

Aijun Yang, Jin-Guan Lin, Niansheng Tang, 2015, Comput. Stat..

Coherence and anti-coherence resonance of corporation finance

Nian-Sheng Tang, Jiang-Cheng Li, Chao Long, 2019, Chaos, Solitons & Fractals.

Simultaneous variable selection and estimation for joint models of longitudinal and failure time data with interval censoring

Fengting Yi, Jianguo Sun, Niansheng Tang, 2020, Biometrics.

Testing the equality of proportions for correlated otolaryngologic data

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

Model Selection Criteria for Missing-Data Problems Using the EM Algorithm

J. Ibrahim, Hong-Tu Zhu, Niansheng Tang, 2008, Journal of the American Statistical Association.

Statistical inference for correlated data in ophthalmologic studies

Man-Lai Tang, Nian-Sheng Tang, Bernard Rosner, 2006, Statistics in medicine.

Bayesian estimation for stochastic dynamic equations via Fokker–Planck equation

Niansheng Tang, Jiang-Cheng Li, Guang-Yan Zhong, 2020 .

Fused mean-variance filter for feature screening

Zhiqiang Wang, Xianwen Ding, Xiaodong Yan, 2016, Comput. Stat. Data 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..

Generalized empirical likelihood for nonsmooth estimating equations with missing data

Niansheng Tang, Puying Zhao, Li-E Cui, 2021, J. Multivar. 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..

Confidence interval construction for sensitivity difference of two continuous-scale diagnostic tests at the fixed level of two specificities

Niansheng Tang, Xian-Gui Luo, 2015 .

Local influence analysis of nonlinear structural equation models

Sik-Yum Lee, Niansheng Tang, 2004 .

Empirical likelihood inference for mean functionals with nonignorably missing response data

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

Variational Bayesian partially linear mean shift models for high‐dimensional Alzheimer's disease neuroimaging data

Niansheng Tang, Ying Wu, 2021, Statistics in medicine.

Statistical Modelling of Brain Morphological Measures Within Family Pedigrees.

Hongtu Zhu, Ravi Bansal, Xuejun Hao, 2008, Statistica Sinica.

Double penalized variable selection procedure for partially linear models with longitudinal data

Niansheng Tang, Peixin Zhao, An-Min Tang, 2014 .

Homogeneity Test of Difference Between Two Correlated Proportions in Stratified Matched-Pair Studies

Niansheng Tang, Bo Zhang, Huibo Li, 2013, Journal of biopharmaceutical statistics.

Confidence Intervals for Assessing Non-Inferiority with Assay Sensitivity in a Three-Arm Trial with Normally Distributed Endpoints

Niansheng Tang, Fan Liang, 2022, Mathematics.

Confidence interval construction for proportion ratio in paired studies based on hybrid method

Niansheng Tang, M. Tang, Huiqiong Li, 2012, Statistical methods in medical research.

Sparse Multicategory Generalized Distance Weighted Discrimination in Ultra-High Dimensions

Yi Liu, Yafei Wang, Linglong Kong, 2020, Entropy.

Bayesian sample size determination in a three-arm non-inferiority trial with binary endpoints

Niansheng Tang, B. Yu, 2022, Journal of biopharmaceutical statistics.

Statistical analysis of non-inferiority via non-zero risk difference in stratified matched-pair studies

Niansheng Tang, Huiqiong Li, Liucang Wu, 2008 .

Sample-size determination for two independent binomial experiments

Niansheng Tang, Zhanping Zhao, Yun-Xian Li, 2011, J. Syst. Sci. Complex..

Confidence-Interval Construction for Rate Ratio in Matched-Pair Studies with Incomplete Data

G. Tian, Niansheng Tang, M. Tang, 2014, Journal of biopharmaceutical statistics.

Homogeneity test of rate ratios in stratified matched‐pair studies

Niansheng Tang, Huiqiong Li, 2011, Biometrical journal. Biometrische Zeitschrift.

Statistical Inference For Risk Difference in an Incomplete Correlated 2 × 2 Table

Niansheng Tang, M. Tang, 2003 .

Sample size determination for 2-step studies with dichotomous response

Niansheng Tang, M. Tang, V. Carey, 2006 .

Bayesian analysis of structural equation models with mixed exponential family and ordered categorical data.

Nian-Sheng Tang, Sik-Yum Lee, Niansheng Tang, 2006, The British journal of mathematical and statistical psychology.

Testing hypothesis for a simple ordering in incomplete contingency tables

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

FRATS: Functional Regression Analysis of DTI Tract Statistics

M. Styner, J. Gilmore, Weili Lin, 2010, IEEE Transactions on Medical Imaging.

Efficient Robust Estimation for Linear Models with Missing Response at Random

Hongtu Zhu, Niansheng Tang, M. Tang, 2018, Scandinavian journal of statistics, theory and applications.

Weighted composite quantile regression analysis for nonignorable missing data using nonresponse instrument

Z. Li, Niansheng Tang, Puying Zhao, 2017 .

Dynamic Tensor Recommender System

Annie Qu, Yanqing Zhang, Nian-Sheng Tang, 2019, Proceedings of the International Conference on Statistics: Theory and Applications.

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..

Bayesian Sensitivity Analysis of a Nonlinear Dynamic Factor Analysis Model with Nonparametric Prior and Possible Nonignorable Missingness

J. Ibrahim, Hongtu Zhu, Sy-Miin Chow, 2017, Psychometrika.

Semiparametric Bayesian analysis of transformation linear mixed models

Ying Wu, Dan Chen, Niansheng Tang, 2018, 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 for Hidden Markov Factor Analysis Models

Niansheng Tang, Yemao Xia, Xiaoqian Zeng, 2017 .

Testing Equality of Correlations of Two Paired Binary Responses from Two Treated Groups in a Randomized Trial

W. Wong, Niansheng Tang, M. Tang, 2011, Journal of biopharmaceutical statistics.

Assessing non-inferiority for incomplete paired-data under non-ignorable missing mechanism

Guo-Liang Tian, Hongyuan Cao, Hui-Qiong Li, 2018, Comput. Stat. Data Anal..

Confidence interval construction for the difference between two correlated proportions with missing observations

Niansheng Tang, M. Tang, Huiqiong Li, 2016, Journal of biopharmaceutical statistics.