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Chen, Ming-Hui - Department of Statistics, University of Connecticut
Bayesian Analysis for a Constrained Linear Multiple Regression Problem for Predicting
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY
Identifying Men Diagnosed With Clinically Localized Prostate Cancer Who are at High Risk for Death From Prostate Cancer
Intermediate End Point for Prostate CancerSpecific Mortality Following Salvage Hormonal Therapy for
Surrogate End Point for Prostate CancerSpecific Mortality After Radical Prostatectomy or
Variable Selection for Multivariate Logistic Regression Models Ming-Hui Chen and Dipak K. Dey
Bayesian Estimation for Item Response Models Malay Ghosh1
Bayesian Variable Selection for Time Series Count Data Joseph G. Ibrahim
Bayesian Models for Gene Expression with DNA Microarray Data Joseph G. Ibrahim, Ming-Hui Chen, and Robert J. Gray
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Partition-Weighted Monte Carlo Estimation By Ming-Hui Chen and Qi-Man Shao
Short Running Title : Bayesian Analysis of Matched Pairs Data Hierarchical Bayesian Analysis of Binary Matched Pairs Data
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Models For Survival Data From Cancer Prevention Studies Debajyoti Sinha
Monte Carlo Methods in Bayesian Computation MingHui Chen, QiMan Shao, and Joseph G. Ibrahim