JESSICA L. GREEN, ALAN HASTINGS, PETER ARZBERGER, FRANCISCO J. AYALA, KATHRYN L. COTTINGHAM, KIM CUDDINGTON, FRANK DAVIS, JENNIFER A. DUNNE, MARIE-JOSÉE FORTIN, LEAH GERBER and MICHAEL NEUBERT ...

The Biostatistics, Bioinformatics and Epidemiology Program (BBE) supplies the statistical and mathematical modeling expertise needed within Fred Hutch’s Vaccine and Infectious Disease Division to ...

PICATINNY ARSENAL, N.J.--In case you've forgotten the adage that "uncertainty is the only certainty," Picatinny Arsenal's Statistics Group is prepared to remind you. Its latest initiative known as ...

Introduces methods, theory and applications of statistical models, from linear models (simple and multiple linear regression), to hierarchical linear models. Topics such as estimation, residual ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

The information presented here is intended to describe the course goals for current and prospective students as well as others who are interested in our courses. It is not intended to replace the ...

Researchers use mathematical modeling to help explain why CAR T cells work in some patients and not in others. Chimeric antigen receptor T-cell therapy, or CAR T, is a relatively new type of therapy ...

Grape stems are rich in bioactive phenolic compounds, offering potential for developing antioxidant-rich products in the food industry. The study employed UV-vis spectrophotometry and HPLC to quantify ...

Statistical modeling continues to deliver distinct value to businesses both independent of, and in concert with, machine learning. “Artificial intelligence” (AI) and “machine learning” are among the ...

Do you have an inquisitive mind, a fascination with data, math acumen, attention to detail, and a knack for seeing the big picture? A BS in Mathematical Sciences from Michigan Tech—with a ...