Ming-hui Chen
Department Head & Distinguished Professor/Statistics

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Scholarly Contributions

468 Scholarly Contributions

337
Journal Articles
101
Poster/Presentations
12
Books
9
Book Chapters
6
Other Scholarly Works
3
Conference Proceedings
The combination of preoperative prostate specific antigen and postoperative pathological findings to predict prostate specific antigen outcome in clinically localized prostate cancer.
1998
R Whittington, A Wein, J Fondurulia, S B Malkowicz, Ming-Hui Chen, A V D'Amico, J E Tomaszewski
Research Type: Journal Article

Assessment of outcome prediction models for localized prostate cancer in patients managed with external beam radiation therapy.
1998
A Desjardin, A V D'Amico, A Chung, Ming-Hui Chen
Research Type: Journal Article

Calculated prostate cancer volume: the optimal predictor of actual cancer volume and pathologic stage.
1997
A V D'Amico, A Renshaw, H Chang, A Desjarden, E Holupka, J P Richie, K R Loughlin, Ming-Hui Chen
Research Type: Journal Article

On Monte Carlo methods for estimating ratios of normalizing constants
1997
Ming-Hui Chen, Qi-Man Shao
Research Type: Journal Article

Performance study of marginal posterior density estimation via Kullback-Leibler divergence
1997
Ming-Hui Chen, Qi-Man Shao
Research Type: Journal Article

Predictive Variable Selection for the Multivariate Linear Model
1997
Ming-Hui Chen, Joseph G. Ibrahim
Research Type: Journal Article

Reparameterizing the generalized linear model to accelerate gibbs sampler convergence
1996
Balgobin Nandram, Ming-Hui Chen
Research Type: Journal Article

Bayesian Analysis for a Constrained Linear Multiple Regression Problem for Predicting the New Crop of Apples
1996
John J. Deely, Ming-Hui Chen
Research Type: Journal Article

Bayesian Analysis for Random Coefficient Regression Models Using Noninformative Priors
1995
Ming-Hui Chen
Research Type: Journal Article

Importance-Weighted Marginal Bayesian Posterior Density Estimation
1994
Ming-Hui Chen
Research Type: Journal Article

Performance of the Gibbs, Hit-and-Run, and Metropolis Samplers
1993
Ming-Hui Chen, Bruce Schmeiser
Research Type: Journal Article

Predicting Retirement Patterns: Prediction for a Multinomial Distribution With Constrained Parameter Space
1993
James O. Berger, Ming-Hui Chen
Research Type: Journal Article

Bayesian Analysis of Survival Data with Semi-Competing Risks and Treatment Switching
X. Xue, Donglin Zeng, Yuanye Zhang, Joseph G Ibrahim, Ming-Hui Chen, Qingxia Chen, Z. Pan
Research Type: Conference Proceedings

A conditional autoregressive model for detecting natural selection in protein-coding DNA sequences"
Paul O Lewis, Lynn Kuo, Rui Wu, Yu Fan, Ming-Hui Chen
Research Type: Conference Proceedings

Oxidative Stress Determined by Urinary 8-isoprostane is Positively Associated with Prostate Cancer Aggressiveness and Inversely Associated with Plasma Antioxidant Capacity.
Ock Chun, Elizabeth Fontham, Sung Koo, Jannette T Bensen, Ming-Hui Chen, Joseph Su, James L Mohler, Terrence M Vance, Sang Gil Lee, Gissou Azabdaftari
Research Type: Conference Proceedings

Estimation of Treatment Effects and Model Diagnostics with Two-way Time-Varying Treatment Switching: an Application to a Head and Neck Study
Qingxia Chen, Xinyu Julie Cong, Ming-Hui Chen, Fan Zhang
Research Type: Journal Article

Comorbidity and the receipt of curative therapy for favorable risk prostate cancer prior to and following the publication of the PIVOT
M. H. Braccioforte, B. J. Moran, S. A. Mihalcik, Ming-Hui Chen, Anthony V. D'Amico
Research Type: Journal Article

Bayesian Joint Autoregressive Models for Item Response and Response Time Data from Application for Readiness in Schools and Learning Evaluation (AppRISE)
Roeland Hancock, Lei Cao, Ming-Hui Chen, Xiaojing Wang
Research Type: Journal Article

Bayesian Concentration Ratio and Dissonance
Wei Shi, Lynn Kuo, Ming-Hui Chen, Paul O Lewis
Research Type: Journal Article

Bayesian Joint Item Response Model of Multidimensional Response Data with Application to Computerized Testing
Ming-Hui Chen, Roeland Hancock, Fang Liu, Xiaojing Wang
Research Type: Journal Article