Ming-hui Chen
Department Head & Distinguished Professor/Statistics
Storrs Mansfield
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Scholarly Contributions
468 Scholarly Contributions
A Partition Weighted Kernel (PWK) Method for Estimating Marginal Likelihoods with Application
2017
Research Type: Poster/Presentation
A Bayesian Approach to Pathway Analysis by Integrating Gene-Gene Functional Directions and Microarray Data
2012
Research Type: Journal Article
A Bayesian Cure Rate Frailty Model for Survival Data in the Presence of Semi-Competing and Competing Risks
2016
Research Type: Poster/Presentation
A Bayesian Cure Rate Frailty Model for Survival Data in the Presence of Semi-Competing and Competing Risks
2017
Research Type: Poster/Presentation
A Bayesian Hierarchical Model for Correlated Microarray Datasets
2011
Research Type: Poster/Presentation
A Bayesian multi-risks survival (MRS) model in the presence of double censorings
Research Type: Journal Article
A Comparison of Monte Carlo Methods for Computing Marginal Likelihoods of Item Response Theory Models
2020
Research Type: Poster/Presentation
A Comparison of Surrogate Endpoints for All Cause Mortality in Men with Localized Unfavorable-Risk Prostate Cancer
2017
Research Type: Journal Article
A Conditional Autoregressive Model for Detecting natural Selection in Protein-Coding DNA Sequences
2012
Research Type: Poster/Presentation
A Counterfactual P-value Approach for Benefit-Risk Assessment in Clinical Trials
2015
Research Type: Journal Article
A Half-Day Short Course on "Power Prior: Incorporating Historical Data for Bayesian Inference and Designs of Clinical Trial"
2019
Research Type: Poster/Presentation
A New Bayesian Model for Longitudinal Count Datawith Many Zeros, Intermittent Missingness, and Dropout with Applications to HIV Prevention Trials
2018
Research Type: Poster/Presentation
A New Method for Tracking Configuation for Dirichlet Process Sampling
2014
Research Type: Journal Article
A Randomized Controlled Trial Comparing Two Different Approaches to Prescribe Exercise.
2019
Research Type: Poster/Presentation
A Survey of Statistical Methods and Computing for Big Data
Research Type: Other Scholarly Work