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 ...

This finding emphasizes the need for researchers to carefully consider the characteristics of their data when selecting statistical methods for agreement analysis. Additionally, a novel graphical ...

The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...

The Center for Statistics and Advance Analytics provides support to Boston College researchers related to the collection and the analysis of data. This includes Data Science, Geographic Information ...

"Statistical analysis is a tool to bring in transparency and accountability in governance ... Your job requires high proficiency in statistical methods, which you would use to provide solutions to ...

Health data science combines expertise in epidemiology and statistics with programming skills to enable analysis of these very large and diverse datasets. You will be trained in the theory and ...

and scientific domain knowledge to build understanding of measured variables Manage and manipulate complex datasets Apply advanced statistical analysis methods appropriately Create data visualizations ...

A team of researchers from the National Institute of Health Data Science at Peking University and the Department of Clinical Epidemiology and Biostatistics at Peking University People's Hospital ...