In this video, learn how real-world evidence supports drug development by analysing data from routine care to answer defined clinical or regulatory questions.
In this video, learn how dose expansion phases in early oncology trials reduce uncertainty before larger studies by confirming safety and refining schedule.
In this video, learn how a statistical analysis plan (SAP) defines how clinical trial data is analysed to turn protocol objectives into credible, reproducible results.
In this video, learn how R streamlines clinical trial planning, analysis, and reporting so teams can turn raw data into reproducible, inspection-ready evidence faster.
In this video, learn how annotated CRFs streamline site entry to reviewer-ready datasets so every value is traceable, standardised, and fit for analysis.
In this video, learn how clear estimands sharpen trial design, data capture, and analysis—so the final number answers the clinical question that matters.
In this video, learn how artificial intelligence and automation streamline clinical data management without sacrificing oversight, safety, or data quality.
In this video, we explore what virtual trials are, when they make sense, and how to design them without compromising safety, oversight, or data quality.
In this video, learn how the ALCOA++ principles safeguard data integrity in clinical trials and why regulators treat them as the backbone of GCP and GMP.