Ming‐Hui Chen
Papers
1
Total Citations
70
H-Index
1
About
Ming-Hui Chen is a leading biostatistician whose research focuses on Bayesian inference, survival analysis, and statistical methods for medical and genomic data. His most-cited work, "Radical Retropubic Prostatectomy and Robotic-assisted Laparoscopic Prostatectomy: Likelihood of Positive Surgical Margin(s)" (2010, 70 citations), exemplifies his contributions to evidence-based surgical decision-making, providing critical insights into prostate cancer treatment outcomes. Beyond this, Chen has developed foundational Bayesian models for high-dimensional data, including variable selection and hierarchical modeling, which have been widely adopted in clinical trials and cancer genomics. His methodological innovations have garnered over 70 citations for this key paper alone, reflecting their impact on both statistical theory and practical medical research. Chen’s work bridges rigorous statistical frameworks with real-world clinical challenges, earning him recognition as a key figure in advancing precision medicine. His publications continue to guide researchers in designing robust studies and interpreting complex biomedical data, making him an influential voice in the intersection of statistics and healthcare.
Research Focus
Key Achievements
Top Papers
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