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Using Statistics to Improve Data Quality and Maximize Trial Success

Poor quality data has the potential to destroy the validity of a clinical trial, wasting precious time and resources while introducing sizable roadblocks into the drug development pathway.

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A Comprehensive Guide to Adaptive Site Monitoring

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Decoding ICH E6(R3): What It Means for Risk-Based Quality Management (RBQM)
  • Authors: Frederic Blais, Jelena Pasimisina, Melissa Thomas ICH E6(R3) provides greater clarity on proactively designing quality...
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10 Steps for Practical RBQM Implementation for Your Business
  • Many clinical trial Sponsors and Contract Research Organizations (CROs) realize the great benefits of Risk-Based Quality...
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QTLs: Where Are We, And How Much Further Can We Go?
  • Quality Tolerance Limits (QTLs) represent a significant advancement in clinical trial research, aimed at proactively identifying...
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