IDDCR Global Team

For decades, SAS  has been the gold standard for statistical analysis and reporting in clinical trials. However, with the rapid rise of R programming —an open-source, highly flexible statistical language—the clinical research industry is asking an important question: Can R replace SAS in regulatory clinical submissions? The short answer is: not entirely—yet . The practical answer is: R is increasingly becoming a powerful and accepted companion to SAS . This article explores the current...

The clinical research industry is undergoing a rapid transformation. With growing data volumes, real-time analytics, and increasing emphasis on transparency and reproducibility, R programming  has emerged as a powerful and in-demand skill. For professionals already working in clinical research—or aspiring to enter it—learning R can unlock new career paths and global opportunities. This article explores who should learn R , a clear skill roadmap from beginner to advanced , portfolio and...

Clinical research is becoming increasingly data-driven, and with the growth of data science, real-world evidence, and advanced analytics , professionals in pharma and CROs are expected to go beyond traditional tools. R programming , being open-source, flexible, and statistically powerful, is now widely adopted for clinical trial data analysis, visualization, and reporting . This article provides a beginner-friendly yet industry-oriented introduction  to using R for clinical trial data. 1....