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publications
Medical data sharing and synthetic clinical data generation–maximizing biomedical resource utilization and minimizing participant re-identification risks
Published in npj Digital Medicine, 2025
teaching
STAT 5101 - Statistical Methods for Data Analysis
Graduate course, Department of Statistics, Iowa State University, 2025
Course Description: A first course in statistics for graduate students from the applied sciences. Principles of data analysis and scientific inference, including estimation, hypothesis testing, and the construction of interval estimates. Statistical concepts and models, including group comparison, blocking, and linear regression. Different sections are designed for students in various disciplines, and additional methods covered may depend on the target audience. Topics covered may include basic experimental designs and analysis of variance for those designs, analysis of categorical data, logistic and log-linear regression, likelihood-based inference, and the use of simulation.
DS 4010 - Data Science Capstone
Undergraduate course, Department of Statistics, Iowa State University, 2026
Course Description: Students work as individuals and teams to complete the planning, design, and implementation of a significant multi-disciplinary project in data science. Oral and written reports.
STAT 4212 - Experimental Design and Data Analysis
Undergraduate course, Department of Statistics, Iowa State University, 2026
Course Description:
- To understand the principles of experimental design.
- To become familiar with some standard experimental designs and to learn how to analyze data from these designs.
- To be able to apply statistical design principles to novel problems.