Ming-hui Chen
Department Head & Distinguished Professor/Statistics

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A Partition Weighted Kernel (PWK) Method for Estimating Marginal Likelihoods with Application
2017
Ming-Hui Chen, Lynn Kuo, Paul O Lewis
Research Type: Poster/Presentation

A Bayesian Approach to Pathway Analysis by Integrating Gene-Gene Functional Directions and Microarray Data
2012
Ming-Hui Chen, Yifang Zhao, Wangang Xie, Baikang Pei, Dong Shin, Lynn Kuo, David Rowe, Fang Yu
Research Type: Journal Article

A Bayesian Cure Rate Frailty Model for Survival Data in the Presence of Semi-Competing and Competing Risks
2016
Ming-Hui Chen
Research Type: Poster/Presentation

A Bayesian Cure Rate Frailty Model for Survival Data in the Presence of Semi-Competing and Competing Risks
2017
Ming-Hui Chen
Research Type: Poster/Presentation

A Bayesian Hierarchical Model for Correlated Microarray Datasets
2011
Ming-Hui Chen
Research Type: Poster/Presentation

A Bayesian multi-risks survival (MRS) model in the presence of double censorings
Anthony V. D'Amico, Mário de Castro, Yuanye Zhang, Ming-Hui Chen
Research Type: Journal Article

A Comparison of Monte Carlo Methods for Computing Marginal Likelihoods of Item Response Theory Models
2020
Ming-Hui Chen
Research Type: Poster/Presentation

A Comparison of Surrogate Endpoints for All Cause Mortality in Men with Localized Unfavorable-Risk Prostate Cancer
2017
M. Loffredo, P. W. Kantoff, Trevor J. Royce, Ming-Hui Chen, A. A. Renshaw, Jing Wu, Anthony V. D'Amico
Research Type: Journal Article

A Conditional Autoregressive Model for Detecting natural Selection in Protein-Coding DNA Sequences
2012
Paul O Lewis, Yu Fan, Rui Wu, Ming-Hui Chen, Lynn Kuo
Research Type: Poster/Presentation

A Counterfactual P-value Approach for Benefit-Risk Assessment in Clinical Trials
2015
B. Ding, R. Wei, Joseph G Ibrahim, Q. Jiang, Ming-Hui Chen, Donglin Zeng, C. Ke
Research Type: Journal Article

A Half-Day Short Course on "Power Prior: Incorporating Historical Data for Bayesian Inference and Designs of Clinical Trial"
2019
Ming-Hui Chen
Research Type: Poster/Presentation

A MONTE CARLO GAP TEST IN COMPUTING HPD REGIONS
2003
QI-MAN SHAO, Ming-Hui Chen, HAI XU, XUMING HE
Research Type: Book Chapter

A New Bayesian Model for Longitudinal Count Datawith Many Zeros, Intermittent Missingness, and Dropout with Applications to HIV Prevention Trials
2018
Ming-Hui Chen
Research Type: Poster/Presentation

A New Method for Tracking Configuation for Dirichlet Process Sampling
2014
Paul O Lewis, Ming-Hui Chen, Lynn Kuo, Rui Wu
Research Type: Journal Article

A New Monte Carlo Method for Computing Marginal Likelihoods
2015
Ming-Hui Chen, Lynn Kuo, Paul O Lewis
Research Type: Poster/Presentation

A New Monte Carlo Method for Estimating Marginal Likelihoods
2018
Lynn Kuo, Paul O Lewis, Ming-Hui Chen
Research Type: Journal Article

A New Skewed Link Model for Dichotomous Quantal Response Data
1999
Qi-Man Shao, Ming-Hui Chen, Dipak Dey
Research Type: Journal Article

A Randomized Controlled Trial Comparing Two Different Approaches to Prescribe Exercise.
2019
Beth A Taylor, Melody Kramarz, Rachel Berkosky, Linda S Pescatello, Ming-Hui Chen
Research Type: Poster/Presentation

A Survey of Statistical Methods and Computing for Big Data
Jun Yan, Ming-Hui Chen, Jing Wu, Chun Wang, Elizabeth Schifano
Research Type: Other Scholarly Work

http://arxiv.org/abs/1502.07989
A comparison of Monte Carlo methods for computing marginal likelihoods of item response theory models
2019
Ming-Hui Chen, Yang Liu, Guanyu Hu, Lei Cao, Xiaojing Wang
Research Type: Journal Article