Applied case study example of study design using the latest tools and methodologies
Join our upcoming webinar on October 25, and hear IQVIA’s VP Biostatistics Russ Reeve and AI/ML expert Kal Chaudhuri as they sets out to highlight how applied adaptive design using subgroup identification & machine learning can reduce trial risk, cost and runtime. Sign up now, and learn how to optimize your workflow using biostatistics and ML.
Register here https://globalmeet.webcasts.com/starthere.jsp?ei=1568893&tp_key=ed851ed0c6&sti=iqvia
Use machine learning-driven analytics to help identify promising patient subgroups, potentially preserving your investment and ensuring valuable therapies reach patients.
Getting the right outcomes from your clinical trials is all about the data and insights they provide. Biostatistics in clinical trials isn’t just a necessity, it can be a real competitive advantage.
Discover unrealized connections and manage your product across the entire lifecycle, from research and development, compliance to launch and commercialization.
Improve the performance of your clinical trials with the power of the IQVIA CORE.
Change the model of clinical research by integrating data, expertise, analytics and technology from study design through execution to power better decisions.
Explore our end-to-end, full service clinical development capabilities including Therapeutics expertise, Development Planning, Phase I early clinical development, Phase IIb/III and Phase IV Trials, Regulatory Submission and Post-Launch Studies.
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