Publications

Filters: Author is Chen, Ming-Hui  [Clear All Filters]
2019
Neupane, Suman, Karolina Fučíková, Louise A. Lewis, Lynn Kuo, Ming-Hui Chen, and Paul O. Lewis. "Assessing Combinability of Phylogenomic Data Using Bayes Factors." Syst Biol 68, no. 5 (2019): 744-754.
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.
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.
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).
Liu, Yang, Guanyu Hu, Lei Cao, Xiaojing Wang, and Ming-Hui Chen. "A Comparison of Monte Carlo Methods for Computing Marginal Likelihoods of Item Response Theory Models." J Korean Stat Soc 48, no. 4 (2019): 503-512.
Lachos, Victor H., Larissa A. Matos, Luis M. Castro, and Ming-Hui Chen. "Flexible longitudinal linear mixed models for multiple censored responses data." Stat Med 38, no. 6 (2019): 1074-1102.
Liu, Yang, Xiwen Ma, Donghui Zhang, Lijiang Geng, Xiaojing Wang, Wei Zheng, and Ming-Hui Chen. "Look before you leap: systematic evaluation of tree-based statistical methods in subgroup identification." J Biopharm Stat 29, no. 6 (2019): 1082-1102.
Wu, Jing, Ming-Hui Chen, Elizabeth D. Schifano, Joseph G. Ibrahim, and Jeffrey D. Fisher. "A new Bayesian joint model for longitudinal count data with many zeros, intermittent missingness, and dropout with applications to HIV prevention trials." Stat Med 38, no. 30 (2019): 5565-5586.
Wang, Yu-Bo, Ming-Hui Chen, Lynn Kuo, and Paul O. Lewis. "Partition Weighted Approach for Estimating the Marginal Posterior Density with Applications." J Comput Graph Stat 28, no. 2 (2019): 334-349.
2016
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.
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.
Lewis, Paul O., Ming-Hui Chen, Lynn Kuo, Louise A. Lewis, Karolina Fučíková, Suman Neupane, Yu-Bo Wang, and Daoyuan Shi. "Estimating Bayesian Phylogenetic Information Content." Syst Biol 65, no. 6 (2016): 1009-1023.
Zhang, Danjie, Ming-Hui Chen, Joseph G. Ibrahim, Mark E. Boye, and Wei Shen. "JMFit: A SAS Macro for Joint Models of Longitudinal and Survival Data." J Stat Softw 71, no. 3 (2016).
Schifano, Elizabeth D., Jing Wu, Chun Wang, Jun Yan, and Ming-Hui Chen. "Online Updating of Statistical Inference in the Big Data Setting." Technometrics 58, no. 3 (2016): 393-403.
Wang, Wenjie, Ming-Hui Chen, Sy Han Chiou, Hui-Chuan Lai, Xiaojing Wang, Jun Yan, and Zhumin Zhang. "Onset of persistent pseudomonas aeruginosa infection in children with cystic fibrosis with interval censored data." BMC Med Res Methodol 16, no. 1 (2016): 122.
Joeng, Hee-Koung, Ming-Hui Chen, and Sangwook Kang. "Proportional exponentiated link transformed hazards (ELTH) models for discrete time survival data with application." Lifetime Data Anal 22, no. 1 (2016): 38-62.
Ibrahim, Joseph G., Yeongjin Gwon, and Ming-Hui Chen. "SAS Macro BSMED: Bayesian survival meta-experimental design using historical data." In Pharmaceutical Statistics Using SAS. Cary: SAS Institute Inc, 2016.
Wang, Chun, Ming-Hui Chen, Elizabeth Schifano, Jing Wu, and Jun Yan. "Statistical methods and computing for big data." Stat Interface 9, no. 4 (2016): 399-414.
2015
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.
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.
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.
Ibrahim, Joseph G., Yeongjin Gwon, and Ming-Hui Chen. BSMED: Bayesian survival meta-experimental design using historical data (SAS).. 1.0 ed., 2015.
Yu, Fang, Ming-Hui Chen, Lynn Kuo, Heather Talbott, and John S. Davis. "Confident difference criterion: a new Bayesian differentially expressed gene selection algorithm with applications." BMC Bioinformatics 16 (2015): 245.
Zeng, Donglin, Ming-Hui Chen, Joseph G. Ibrahim, Rachel Wei, Beiying Ding, Chunlei Ke, and Qi Jiang. "A counterfactual p-value approach for benefit-risk assessment in clinical trials." J Biopharm Stat 25, no. 3 (2015): 508-24.
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.
Ibrahim, Joseph G., Ming-Hui Chen, Yeongjin Gwon, and Fang Chen. "The power prior: theory and applications." Stat Med 34, no. 28 (2015): 3724-49.
Chen, Qingxia, Donglin Zeng, Joseph G. Ibrahim, Ming-Hui Chen, Zhiying Pan, and Xiaodong Xue. "Quantifying the average of the time-varying hazard ratio via a class of transformations." Lifetime Data Anal 21, no. 2 (2015): 259-79.
Lachos, Victor H., Ming-Hui Chen, Carlos A. Abanto-Valle, and Caio L. N. Azevedo. "Quantile regression for censored mixed-effects models with applications to HIV studies." Stat Interface 8, no. 2 (2015): 203-215.
2014
Zhang, Danjie, Ming-Hui Chen, Joseph G. Ibrahim, Mark E. Boye, Ping Wang, and Wei Shen. "Assessing model fit in joint models of longitudinal and survival data with applications to cancer clinical trials." Stat Med 33, no. 27 (2014): 4715-33.
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.
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.
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.
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.
Zhang, Danjie, Ming-Hui Chen, and Joseph G. Ibrahim. JMfit - For fitting joint models for longitudinal and survival data (SAS)., 2014.
Zeng, Donglin, Joseph G. Ibrahim, Ming-Hui Chen, Kuolung Hu, and Catherine Jia. "Multivariate recurrent events in the presence of multivariate informative censoring with applications to bleeding and transfusion events in myelodysplastic syndrome." J Biopharm Stat 24, no. 2 (2014): 429-42.