Episode 14: Using R Programming for Clinical Trial Data Analysis

In this QCast episode, Jullia and Tom break down how the R programming language is being used for clinical trial data analysis. They explore its role across the trial lifecycle, from planning and cleaning through efficacy, safety, and reporting.

Key Takeaways

• Use the language for simulations, cleaning, modelling, safety, and reporting across the trial lifecycle.
• Build “reporting datasets” to simplify creation of inspection-ready tables and figures.
• Validate processes with pinned versions, documentation, and independent review.
• Start small with pilot outputs, then scale once confidence and consistency are proven.
• Automate style elements and maintain version control to ensure reproducibility.

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📝 Episode Notes & Transcript: Find show notes, resources, and a full transcript at quanticate.com/podcast.
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About Quanticate

Founded in 1994, Quanticate is a biometrics-focused CRO with over 30 years' experience delivering expert clinical and post-marketing data services worldwide. Specialising in the collection, management, standardisation, analysis, and reporting of data, we support pharma and biotech companies globally with high-quality solutions for clinical development. We specialise in:

• Clinical Data Capture & Management
• Biostatistics & Statistical Consultancy
• Statistical Programming & PK/PD Analysis
• Medical Writing & Pharmacovigilance
• Regulatory & Submission Support
• AI & Automation
• Post-Marketing Safety & Real-World Data

Quanticate is committed to delivering expertise and solutions that drive the success of clinical development worldwide.