Lianming Wang

发表

Semiparametric bayes' proportional odds models for current status data with underreporting.

David B Dunson, D. Dunson, Lianming Wang, 2011, Biometrics.

Fast Bayesian Inference in Dirichlet Process Mixture Models

Lianming Wang, David B Dunson, D. Dunson, 2011, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Bayesian Semiparametric Regression Analysis of Interval-Censored Data with Monotone Splines

B. Cai, Xiaoyan Lin, Lianming Wang, 2012 .

A Bayesian approach for analyzing case 2 interval-censored data under the semiparametric proportional odds model

Xiaoyan Lin, Lianming Wang, 2011 .

ICBayes: a package of Bayesian semiparametric regression for intervel-censored data

B. Cai, Xiaoyan Lin, Lianming Wang, 2019, Commun. Stat. Simul. Comput..

A Bayesian proportional hazards model for general interval-censored data

Xiaoyan Lin, B. Cai, Xiaoyan Lin, 2015, Lifetime data analysis.

Variable selection in semiparametric nonmixture cure model with interval‐censored failure time data: An application to the prostate cancer screening study

Xinyuan Song, Liuquan Sun, Lianming Wang, 2019, Statistics in medicine.

Multiple frailty model for clustered interval-censored data with frailty selection

B. Cai, Lianming Wang, Chun Pan, 2017, Statistical methods in medical research.

Normal frailty probit model for clustered interval‐censored failure time data

Lianming Wang, Haifeng Wu, 2019, Biometrical journal. Biometrische Zeitschrift.

A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model

Prabhashi W Withana Gamage, C. McMahan, Lianming Wang, 2022, Lifetime Data Analysis.

A Bayesian proportional hazards model for general interval-censored data

B. Cai, Xiaoyan Lin, Lianming Wang, 2014, Lifetime Data Analysis.

Emodin reduces Breast Cancer Lung Metastasis by suppressing Macrophage-induced Breast Cancer Cell Epithelial-mesenchymal transition and Cancer Stem Cell formation

Qing Liu, P. Nagarkatti, Peisheng Xu, 2020, Theranostics.

Estimation of the Association for Bivariate Interval‐censored Failure Time Data

Jianguo Sun, Liuquan Sun, Lianming Wang, 2006 .

Semiparametric Bayes Multiple Testing: Applications to Tumor Data

David B Dunson, D. Dunson, Lianming Wang, 2010, Biometrics.

Church, A Sacred Event and the Visual Perspective of an Etic Viewer: an 18th century Western-Style Chinese Painting held in the Biliothèque nationale de France

Lianming Wang, 2014 .

“Etic Viewer”: an 18th century Western-Style Chinese Painting held in the Bibliothèque nationale de France*

Lianming Wang, 2014 .

Bayesian isotonic density regression.

D. Dunson, Lianming Wang, 2011, Biometrika.

A semiparametric mixture model approach for regression analysis of partly interval-censored data with a cured subgroup

Xinyuan Song, Liuquan Sun, Lianming Wang, 2021, Statistical methods in medical research.

A semiparametric probit model for case 2 interval‐censored failure time data

Xiaoyan Lin, Lianming Wang, Xiaoyan Lin, 2010, Statistics in medicine.

Regression analysis of bivariate current status data under the Gamma-frailty proportional hazards model using the EM algorithm

Naichen Wang, Lianming Wang, Christopher S. McMahan, 2015, Comput. Stat. Data Anal..

A Bayesian approach for analyzing partly interval-censored data under the proportional hazards model

Bo Cai, Lianming Wang, Chun Pan, 2020, Statistical methods in medical research.

Regression analysis of arbitrarily censored survival data under the proportional odds model

Lianming Wang, Lu Wang, 2021, Statistics in medicine.

Efficient estimation for the proportional hazards model with bivariate current status data

Xingwei Tong, Jianguo Sun, Xingwei Tong, 2008, Lifetime data analysis.

A flexible, computationally efficient method for fitting the proportional hazards model to interval‐censored data

Michael G Hudgens, Christopher S McMahan, M. Hudgens, 2016, Biometrics.

Bayesian Proportional Odds Models for Analyzing Current Status Data: Univariate, Clustered, and Multivariate

Xiaoyan Lin, Lianming Wang, Xiaoyan Lin, 2011, Commun. Stat. Simul. Comput..

Simultaneous variable selection in regression analysis of multivariate interval‐censored data

Xinyuan Song, X. Sui, Liuquan Sun, 2021, Biometrics.

A Gamma-frailty proportional hazards model for bivariate interval-censored data

Wanzhu Tu, Lianming Wang, Christopher S. McMahan, 2018, Comput. Stat. Data Anal..

Bayesian semiparametric model for spatially correlated interval-censored survival data

Chun Pan, Xiaoyan Lin, Bo Cai, 2014, Comput. Stat. Data Anal..

From La Flèche to Beijing: The Transcultural Moment of Jesuit Garden Spaces

Lianming Wang, 2018 .

REGRESSION ANALYSIS OF CASE II INTERVAL-CENSORED FAILURE TIME DATA WITH THE ADDITIVE HAZARDS MODEL.

Xingwei Tong, Lianming Wang, Jianguo Sun, 2010, Statistica Sinica.

Regression analysis for current status data using the EM algorithm

Joshua M Tebbs, Christopher S McMahan, J. Tebbs, 2013, Statistics in medicine.

Semiparametric Bayes' Proportional Odds Models for Current Status Data with Underreporting

D. Dunson, Lianming Wang, 2011, Biometrics.

A flexible, computationally efficient method for fitting the proportional hazards model to interval‐censored data

M. Hudgens, C. McMahan, Z. Qureshi, 2016, Biometrics.

A Bayesian proportional hazards model for general interval-censored data

B. Cai, Xiaoyan Lin, Lianming Wang, 2014, Lifetime Data Analysis.

Bayesian proportional hazards model for current status data with monotone splines

Xiaoyan Lin, Bo Cai, Lianming Wang, 2011, Comput. Stat. Data Anal..

Bayesian regression analysis of panel count data under frailty nonhomogeneous Poisson process model with an unknown frailty distribution

Xiaoyan Lin, Lianming Wang, Chunling Wang, 2024, Electronic Journal of Statistics.