id=7022). 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 ...

Predictive modeling of data using modern regression and classification methods. Multiple linear regression; logistic regression; pitfalls and diagnostics; nonparametric and nonlinear regression and ...

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 ...

APPM 4660 (Intermediate Numerical Analysis II), APPM 5520 (Mathematical Statistics), APPM 5580 (Statistical Methods for Data Analysis). The student should take at least four graduate level (5000 or ...

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, ...

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