QCast: Data-Driven Dialogue in Drug Development

Episode 52: The Global Statistical Test for Multiple Endpoint Analysis

Quanticate Episode 52

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0:00 | 9:39

In this QCast episode, Jullia and Tom discuss the Global Statistical Test for multiple endpoints analysis and why it can be useful when a clinical trial needs to assess more than one outcome at the same time. They cover the problem of testing endpoints separately, how GST supports an overall assessment of treatment effect, and why endpoint choice, correlation, missing data, and clinical interpretation need to be planned before the analysis is run.

Key Takeaways

  • Multiple endpoints can give a fuller view of treatment effect, but testing them separately increases the chance of false positive findings.
  • GST can provide one overall assessment across a related set of endpoints, while still requiring endpoint-level review to understand what is driving the result.
  • GST works best when endpoints answer a shared clinical question, move in a consistent expected direction, and are supported by clear analysis planning.


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About Quanticate

Founded in 1994, Quanticate is a biometrics-focused CRO with over 30 years' experience delivering expert clinical and post-marketing data services worldwide. Specialising in the collection, management, standardisation, analysis, and reporting of data, we support pharma and biotech companies globally with high-quality solutions for clinical development. We specialise in:

  • Clinical Data Capture & Management
  • Biostatistics & Statistical Consultancy
  • Statistical Programming & PK/PD Analysis
  • Medical Writing & Pharmacovigilance
  • Regulatory & Submission Support
  • AI & Automation
  • Post-Marketing Safety & Real-World Data

Quanticate is committed to delivering expertise and solutions that drive the success of clinical development worldwide.