Since the software they most commonly use does not perform in depth competing risk analysis, we recommend an add-on package for the R statistical software.

A guide to the popular, free statistics and visualization software that gives scientists control of their own data analysis.

Using the latest tools in R and R RStudio® for calculations and data visualization, students learn valuable skills they can take with them into a variety of future careers in the public sector, the ...

I wrote an introductory blog post about how to access and analyze Pew Research Center survey data with R, a free, open-source software for statistical analysis. The post showed how to perform tasks ...

The purpose of the Journal of Computational and Graphical Statistics is to improve and extend the use of computational and graphical methods in statistics and data analysis. Established in 1992, this ...

Advances in statistical software allow statistical methods for nonlinear regression analysis of dose-response curves to be carried out conveniently by non-statisticians. One such statistical software ...

The National Workshop on NSS Data Analysis using R, organised by Sabar Institute and Aliah University recently, taught the foundations of statistical analysis, essentials that even three or five-year ...

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.