Publications

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Leão, William L., Carlos A. Abanto-Valle, and Ming-Hui Chen. "Bayesian analysis of stochastic volatility-in-mean model with leverage and asymmetrically heavy-tailed error using generalized hyperbolic skew Student's t-distribution." Stat Interface 10 (2017): 529-541.
Li, Wenqing, Ming-Hui Chen, Xiaojing Wangy, and Dipak K. Dey. "Bayesian Design of Non-Inferiority Clinical Trials via the Bayes Factor." Stat Biosci 10, no. 2 (2018): 439-459.
Chen, Ming-Hui, Joseph G. Ibrahim, Peter Lam, Alan Yu, and Yuanye Zhang. "Bayesian design of noninferiority trials for medical devices using historical data." Biometrics 67, no. 3 (2011): 1163-70.
Chen, Ming-Hui, Joseph G. Ibrahim, Donglin Zeng, Kuolung Hu, and Catherine Jia. "Bayesian design of superiority clinical trials for recurrent events data with applications to bleeding and transfusion events in myelodyplastic syndrome." Biometrics 70, no. 4 (2014): 1003-13.
DE Castro, Mário, Ming-Hui Chen, and Y Zhang. "Bayesian frailty models for multi-state survival data." In Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics. New York: Springer, 2016.
Zhang, Yuanye, Ming-Hui Chen, Joseph G. Ibrahim, Donglin Zeng, Qingxia Chen, Zhiying Pan, and Xiaodong Xue. "Bayesian gamma frailty models for survival data with semi-competing risks and treatment switching." Lifetime Data Anal 20, no. 1 (2014): 76-105.
Kim, Sungduk, Ming-Hui Chen, Joseph G. Ibrahim, Arvind K. Shah, and Jianxin Lin. "Bayesian inference for multivariate meta-analysis Box-Cox transformation models for individual patient data with applications to evaluation of cholesterol-lowering drugs." Stat Med 32, no. 23 (2013): 3972-90.
Yao, Hui, Sungduk Kim, Ming-Hui Chen, Joseph G. Ibrahim, Arvind K. Shah, and Jianxin Lin. "Bayesian Inference for Multivariate Meta-regression with a Partially Observed Within-Study Sample Covariance Matrix." J Am Stat Assoc 110, no. 510 (2015): 528-544.
Li, Hao, Ming-Hui Chen, Joseph G. Ibrahim, Sungduk Kim, Arvind K. Shah, Jianxin Lin, and Andrew M. Tershakovec. "Bayesian inference for network meta-regression using multivariate random effects with applications to cholesterol lowering drugs." Biostatistics 20, no. 3 (2019): 499-516.
Sinha, Arijit, Zhiyi Chi, and Ming-Hui Chen. "BAYESIAN INFERENCE OF HIDDEN GAMMA WEAR PROCESS MODEL FOR SURVIVAL DATA WITH TIES." Stat Sin 25, no. 4 (2015): 1613-1635.
Ibrahim, Joseph G., Ming-Hui Chen, Amy H Xia, and Thomas Liu. "Bayesian meta-experimental design: evaluating cardiovascular risk in new antidiabetic therapies to treat type 2 diabetes." Biometrics 68, no. 2 (2012): 578-86.
Ibrahim, Joseph G., Ming-Hui Chen, Amy H Xia, Thomas Liu, and V Henessey. "Bayesian meta-experimental design for evaluating cardiovascular risk." In Quantitative Evaluation if Safety in Drug Development: Design, Analysis and Reporting, 13-38. Boca Raton: Chapman & Hall / CRC Press, 2014.
Ibrahim, Joseph G., Ming-Hui Chen, and Haitao Chu. "Bayesian methods in clinical trials: a Bayesian analysis of ECOG trials E1684 and E1690." BMC Med Res Methodol 12 (2012): 183.
Zhang, Danjie, Ming-Hui Chen, Joseph G. Ibrahim, Mark E. Boye, and Wei Shen. "Bayesian Model Assessment in Joint Modeling of Longitudinal and Survival Data with Applications to Cancer Clinical Trials." J Comput Graph Stat 26, no. 1 (2017): 121-133.
Chen, Qingxia, Ming-Hui Chen, David Ohlssen, and Joseph G. Ibrahim. "Bayesian modeling and inference for clinical trials with partial retrieved data following dropout." Stat Med 32, no. 24 (2013): 4180-95.
Wu, Jing, Joseph G. Ibrahim, Ming-Hui Chen, Elizabeth D. Schifano, and Jeffrey D. Fisher. "Bayesian Modeling and Inference for Nonignorably Missing Longitudinal Binary Response Data with Applications to HIV Prevention Trials." Stat Sin 28 (2018): 1929-1963.
DE Castro, Mário, Ming-Hui Chen, Yuanye Zhang, and Anthony V. D'Amico. "A Bayesian multi-risks survival (MRS) model in the presence of double censorings." Biometrics 76, no. 4 (2020): 1297-1309.
Ibrahim, Joseph G., Sungduk Kim, Ming-Hui Chen, Arvind K. Shah, and Jianxin Lin. "Bayesian multivariate skew meta-regression models for individual patient data." Stat Methods Med Res 28, no. 10-11 (2019): 3415-3436.
DE Castro, Mário, Ming-Hui Chen, and Yuanye Zhang. "Bayesian path specific frailty models for multi-state survival data with applications." Biometrics 71, no. 3 (2015): 760-71.
Ibrahim, Joseph G., Ming-Hui Chen, Mani Lakshminarayanan, Guanghan F. Liu, and Joseph F. Heyse. "Bayesian probability of success for clinical trials using historical data." Stat Med 34, no. 2 (2015): 249-64.
Chen, Ming-Hui, Joseph G. Ibrahim, Amy H Xia, Thomas Liu, and Violeta Hennessey. "Bayesian sequential meta-analysis design in evaluating cardiovascular risk in a new antidiabetic drug development program." Stat Med 33, no. 9 (2014): 1600-18.
DE Castro, Mário, Ming-Hui Chen, Joseph G. Ibrahim, and John P. Klein. "Bayesian Transformation Models for Multivariate Survival Data." Scand Stat Theory Appl 41, no. 1 (2014): 187-199.
Yang, Hou-Cheng, Guanyu Hu, and Ming-Hui Chen. "Bayesian Variable Selection for Pareto Regression Models with Latent Multivariate Log Gamma Process with Applications to Earthquake Magnitudes." Geosciences (Basel) 9, no. 4 (2019).
Ibrahim, Joseph G., Yeongjin Gwon, and Ming-Hui Chen. BSMED: Bayesian survival meta-experimental design using historical data (SAS).. 1.0 ed., 2015.
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Zhu, Hongtu, Joseph G. Ibrahim, and Ming-Hui Chen. "Diagnostic Measures for the Cox Regression Model with Missing Covariates." Biometrika 102, no. 4 (2015): 907-923.
Wang, Xiaofei, Ming-Hui Chen, R C. Kuo, and Dipak K. Dey. "Dynamic spatial pattern recognition in count data." In New Developments in Statistical Modeling, Inference and Application, 185-202. New York: Springer, 2016.