Haben Michael

Haben Michael is an Assistant Professor and Director of the Stat MS & PhD Graduate Admissions program at the University of Massachusetts Amherst. He holds a PhD in Statistics from Stanford University and is affiliated with the Department of Mathematics and Statistics. His primary research focuses on statistical methodology, particularly in meta-analysis, publication bias correction, and AUC analysis. He also develops computational tools for statistical inference, including an R package addressing Begg's test for publication bias.

Education: PhD in Statistics, Stanford University.

Research interests include:

• Statistical methodology for publication bias correction
• Meta-analytical techniques
• Diagnostic testing and AUC estimation
• Time-varying treatment effects in causal inference

Recent work emphasizes improving statistical methods for clustered data analysis, bias adjustment in meta-studies, and robust estimation in marginal structural models. His programming repositories include contributions to correcting Begg’s test, demonstrating practical applications of his theoretical research.

Affiliations: Department of Mathematics and Statistics, University of Massachusetts Amherst. Office located at LGRT 1336.