GSK

Comparing Analysis Method Implementations in Software (CAMIS): An open source repository to document differences in statistical methodology across software

Statisticians and programmers using multiple software systems (e.g., SAS, R, Python) often encounter differences in analysis results, requiring further exploration and justification. Investigating these discrepancies can be time-consuming, especially …

The Need for Speed - AccelerateR-ing R Adoption in GSK

How does a risk-averse Pharma Biostatistics organization with 800+ people switch from using proprietary software to using R and other open-source tools for delivering clinical trial submissions? First slowly, then all at once. GSK started the …

Everyones Invited: A Case Study on Bridging the Usability Gap

In 2022, our team announced the first release of the tfrmt package, providing clinical programmers with the novel ability to create tables without data. With its metadata-driven engine applied to the emerging industry standard of Analysis Results …

Version Control with Git & RStudio – Handy Tips for Use & How to Resolve Common Issues

How CI/CD Enhances the Development of R packages in the Pharmaverse

Continuous integration (CI) and continuous delivery (CD) are playing a pivotal role in ensuring that R projects in Pharma meet the highest quality standards. Particular focus is placed on ensuring that packages are fit for purpose both on internal …

Why do I spend all my life formatting tables?!

Tables no longer just live in flat PDFs and reports, but should be able to go from apps to PDFs and Word documents with ease. To have the flexibility to do this we need to separate the analysis from the formatting. Additionally, in the pharmaceutical …

An intro to CI/CD for R packages

Clinical Reporting in R (2 day workshop - Oct 31, Nov 1)

Closing the Gap: Creating an End to End R Package Toolkit for the Clinical Reporting Pipeline

abstract to follow

R Consortium Pharma Working Groups Overview and Updates

In this talk, we would like to provide updates on the four biopharmaceutical industry focused R consortium cross-industry working groups. These working groups have a similar overall objective to support the use of R within the biopharmaceutical …