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 ...

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

Prerequisite: BST 631. 3 hours. As needed. The purpose of this class will be to teach graduate students statistics methods that underlie the analysis of data generated by high throughput genomic ...

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 ...

Learn data analysis through traditional methods or online courses and bootcamps. Gain technical skills and practice with data ...

and studying statistics and data analysis prepares students for many opportunities. Our students explore traditional statistical methods as well as cutting-edge data analysis and problem-solving ...

This webpage provides information about the research project “Methods for the Analysis of Longitudinal Dyadic Data, with Applications to Intergenerational ... social statisticians from the Department ...

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, ...

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 ...

Big data has gotten too big. Now, a research team with statisticians from Cornell has developed a data representation method ...