Haiqun Lin, Daniel O. Scharfstein, Robert A. Rosenheck, Analysis of Longitudinal Data with Irregular, Outcome-Dependent Follow-Up, Journal of the Royal Statistical Society.

Learning how to perform statistical data analysis in Microsoft Excel can help you improve your analytics and reporting. This guide takes you ...

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 ...

Applied Statistics & Statistical Learning Applied statistics and statistical learning (ASSL) is the process of using data relationships and computer models to drive business value, improve ...

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 ...

Languages for data analysis and statistics must be able to cover the entire spectrum from improvisation and fast prototyping to the implementation of streamlined, specialized systems for routine ...

Explore the importance of robust statistics like median and MAD in data analysis, ensuring accurate insights despite outliers ...

Overview: Discover the real people behind statistics that power our world.Understand how their innovations shaped science, ...

As statistics continues to play an ever more important role in society, equal access to data resources in developing countries is becoming more essential.