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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)
Using Virtual Population Simulation to Forecast Likely Study Outcomes as a Trial Is Enrolling
Badri Rengarajan, MD
Jazz Pharmaceuticals, United States
Life Sciences
Predictive Analytics for Dummies: How Anyone Can Use Analytics to Forecast Clinical Study Operational Outcomes
James Streeter
Oracle Health Sciences, United States
Global Vice President, Life Sciences Product Strategy
A Benchmarking Database for Comparing Industry R&D Performance
David S. Zuckerman, MS
Metrics Champion Consortium LLC, United States
Chief Executive Officer
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