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Metrics Benchmarking, Predictive Analytics, and Virtual Population Simulation: New Tools to Contextualize and Forecast Trial Performance
Session Chair(s)
Badri Rengarajan, MD
Life Sciences, Jazz Pharmaceuticals, United States
Using Virtual Population Simulation to Forecast Likely Study Outcomes as a Trial Is Enrolling
Learning Objective : Discuss which clinical development/trial performance metrics can be benchmarked and utilized to enhance development efforts; Explain the importance and utility of forecasting and prediction for trial operations and clinical outcomes; Outline situations that enable best use of benchmarking data, predictive analytics, and simulation.
Speaker(s)
Badri Rengarajan, MD
Life Sciences, Jazz Pharmaceuticals, United States
Using Virtual Population Simulation to Forecast Likely Study Outcomes as a Trial Is Enrolling
James Streeter
Global Vice President, Life Sciences Product Strategy, Oracle Health Sciences, United States
Predictive Analytics for Dummies: How Anyone Can Use Analytics to Forecast Clinical Study Operational Outcomes
David S. Zuckerman, MS
Chief Executive Officer, Metrics Champion Consortium LLC, United States
A Benchmarking Database for Comparing Industry R&D Performance
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