Megan Romer

Megan Romer is an Associate Teaching Professor (Online Programs) in the Department of Statistics at The Pennsylvania State University, affiliated with the Eberly College of Science. She earned a Ph.D. (2009), M.S. (2002), and B.S. (2000) in Statistics and Mathematics from Penn State and SUNY Oswego, respectively. Her primary focus is on teaching statistics, particularly in online education since 2009. Her research emphasizes incomplete data analysis, with contributions to multivariate statistical methods and applications in clinical trials.

Her teaching spans courses including Applied Time Series Analysis (STAT 510), Elementary Statistics (STAT 200), and Statistical Consulting (STAT 580). Her publications address statistical methodologies for handling incomplete data, neurodegenerative disease biomarkers, and Parkinson's-related clinical trials. She has contributed to studies on Huntington's disease progression and CAG repeat length correlations. Romer's work bridges theoretical statistical analysis with practical applications in healthcare and education.

Notable contributions include finite-sample inference techniques for multivariate normal data and kurtosis tests under monotone missingness. Her teaching philosophy emphasizes student engagement with statistical problem-solving, leveraging her prior experience in clinical trial research support. She has designed curricula for online programs, ensuring accessibility and rigor in statistical education.