Advanced analytics applied to complex, large datasets can inform smarter study design and better execution in clinical development from biomarker identification, protocol optimization, physician targeting, patient recruitment, and external control arms.
In this ebook, you will see examples of how Cytel's data science and real-world evidence groups have helped clients apply advanced analytical techniques to large, complex historical or real-world data sets to improve their decision-making, accelerate development pathways, and enhance their probability of success.
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Case Studies Include:Synthetic Controls: Unlocking the Promise of Historical and Real-World Data
Leveraging Claims Data to Support Competitive Positioning of Multiple Sclerosis (MS) Therapy
Predictive Biomarker Signature Characterization
Redesigning a Pragmatic Trial in Oncology