In this QCast episode, Jullia and Tom unpack how machine learning is being applied across the pharmaceutical industry. They discuss what machine learning means in a regulated drug development context, where it is already supporting discovery, development, and trial operations, and how teams can use these methods responsibly without undermining scientific or regulatory confidence. Key Takeaways Understand how machine learning differs from traditional statistical approaches, and why it is parti...
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In this QCast episode, Jullia and Tom unpack how machine learning is being applied across the pharmaceutical industry. They discuss what machine learning means in a regulated drug development context, where it is already supporting discovery, development, and trial operations, and how teams can use these methods responsibly without undermining scientific or regulatory confidence. Key Takeaways Understand how machine learning differs from traditional statistical approaches, and why it is parti...
Episode 14: Using R Programming for Clinical Trial Data Analysis
QCast: Data-Driven Dialogue in Drug Development
12 minutes
3 months ago
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, docum...
QCast: Data-Driven Dialogue in Drug Development
In this QCast episode, Jullia and Tom unpack how machine learning is being applied across the pharmaceutical industry. They discuss what machine learning means in a regulated drug development context, where it is already supporting discovery, development, and trial operations, and how teams can use these methods responsibly without undermining scientific or regulatory confidence. Key Takeaways Understand how machine learning differs from traditional statistical approaches, and why it is parti...
