Building Reusable Pharma Applications For Clinical Trial Analytics Under GxP Constraints
In the pharmaceutical industry, GxP, or Good “x” Practices (e.g., x = clinical, laboratory, manufacturing), govern the safety, integrity, and...
Open-Source Data Visualization: Enhancing TFL Creation With R for Clinical Data Analysis
Leave Manual TFL Creation in the Past — Permanently In the pharmaceutical and biotech industries, the creation of tables, figures,...
Atorus Academy: Empowering You for the Future of Clinical Programming
In the tech-driven and rapidly changing field of clinical programming, staying ahead requires continuous learning, skill development, and adaptation. As...
OpenVal™: Enhance Your Efficiency and Compliance With Validated Open-Source Packages for Clinical Research
The drive for efficiency and innovation is paramount in the technologically advanced and continuously evolving field of pharmaceutical and biotechnical...
Upskill to R Programming with Posit and Atorus Research
Curious about the future of open-source clinical programming? Read our latest blog, “Upskill to R Programming with Posit and Atorus...
Tplyr 1.2.1 Release
It’s been over a year now since we released Tplyr 1.1.0. In the version 1.0.0 we marked the package as stable, with...
R Programming for Clinical Trial Analytics
Note: The contents of this blog are accurate as of the day of publication. As we all know, open-source is...
Real Projects, Real Transition, Really Revolutionary: Transitioning to R for Biometrics Work
Introduction “SAS® vs R” has been a hotly debated topic for over a decade. Initially regarded as a tool for...
datasetjson 0.0.1 Release
I’m thrilled to announce that the new package datasetjson, which allows you to read, write, and validate CDISC Dataset JSON...
Making Multilingual Programmers – A Targeted Approach to R for Clinical Trials Training
INTRODUCTION The open–source for clinical programming discussions are everywhere these days, and at industry conferences, there are almost as...