Assistant Professor, Statistics, College of Engineering and Computing
Building: Nguyen Engineering Building
Niloofar Ramezani is an experienced senior statistician, statistical consultant, and biostatistician, working with multiple state agencies. She has served as a co-investigator for NIH grants focused on teaching science, motivation and addiction behavior.
Ramezani imparts her love of statistics to her students and helps them connect the study of statistics to the ability to solve real-world problems. She has taught undergraduate and graduate courses in statistics and mathematics, for over a decade, and has designed courses and developed curriculum for international students.
She is a two-time recipient of the StatisticalAnalysis System (SAS) Ambassador Award for her innovative use of statistical analysis software, and she has earned over two dozen prestigious competitive academic awards through SAS, American Public Health Association, American Statistical Association, and others, for her cutting-edge research in statistical modeling including developing two new power estimation techniques for longitudinal data using generalized method of moments.
She is passionate about handling missing data, efficiently modeling correlated and multilevel data, and extending generalized estimating equations to capture a higher response variation. Such methods are used frequently in biomedical, public health, engineering, business, and econometric fields.
Ramezani believes in giving back to her community and has volunteered with nonprofit organizations for more than five years writing grants, evaluating intervention programs, and designing studies.
Longitudinal and correlated data analysis
Non-normal data analysis
- PhD, Applied Statistics, University of Northern Colorado
- MSc, Applied Statistics and Research Methods, University of Northern Colorado
- BSc, Statistics (Minor in Mathematics), Shahid Beheshti University