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 ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

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 ...

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

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, ...

This course aims to provide an understanding of the statistical principles behind ... of traditional and counterfactual approaches to mediation analysis and the assumptions underlying these methods; ...

A far-reaching study has cast doubt on statistical methods used to identify long-distance signaling networks in plants. The ...