id=7745). This course covers most frequently used statistical methods for data analysis. In addition to the standard inference methods such as parameter estimation, hypothesis testing, linear models ...

Our lab has developed many data analysis workflows adapting and integrating sophisticated statistical methods to evaluate complex molecular datasets that we obtain with MS technologies. We are ...

Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. The application of statistical methods extracts information from ...

This course focuses on experimental design and applied statistical methods for data analysis. Students will learn how to design and interpret experiments considering multiple variables, avoiding ...

The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...

Biology, psychology, and other sciences require statistical methods for analysing and visualising data. This course is designed to be accessible to students from any discipline, first building a ...

We provide consultation on all aspects of data collection, analysis and interpretation. We seek to promote high-quality use of statistical methods and presentation of data in grant proposals, ...

Through statistical analysis, companies can make good use of big data for greater success. This is a process that involves the collection, organization and critical examination of data to draw some ...

Courses at the undergraduate level are designed to provide students with skills in both traditional statistical methods and cutting edge data analysis techniques. These skills are in high demand in ...

Innovative statistical method helps determine ideal threshold times in restricted mean survival time analyses.